Featured Learning
ACERT76-071_rev3.0: AI+ Medical Assistant, Self-Paced Learning V3 (Healthcare)
Duration: Self-Paced, 8 hours of content
The AI+ Medical Assistant certification equips healthcare professionals with essential skills to integrate AI tools into medical practices. Participants will gain hands-on experience in using AI for patient data analysis, predictive diagnostics, and personalized treatment plans. The course covers machine learning algorithms, natural language processing, and medical data management, preparing learners to enhance patient care, streamline administrative tasks, and optimize healthcare workflows. By the end of the certification, participants will be well equipped to leverage AI technologies in improving healthcare delivery, driving efficiency, and supporting clinical decision-making in a rapidly evolving medical environment.
Why This Certification Matters
- Increased Demand for AI Skills: Healthcare organizations are adopting AI, increasing the need for skilled administrators to manage these systems.
- Improved Efficiency and Cost Reduction: AI streamlines tasks, reducing costs and boosting efficiency, making AI expertise vital for healthcare management.
- Enhanced Decision-Making: AI-driven data analysis supports better resource planning and informed decisions, improving healthcare outcomes.
- Compliance and Risk Management: AI tools help administrators ensure regulatory compliance, privacy, and risk management in healthcare organizations.
- Career Growth Opportunities: The certification opens doors to leadership roles, allowing you to drive digital transformation and enhance operations.
Please use the links below to download additional information about this course:
Executive Summary: ai-medical-assistant-executive-summary.pdf
Course Outline: ai-medical-assistant-detailed-curriculum.pdf
Exam Blueprint: ai-medical-assistant-blueprint.pdf
AI+ Medical Assistant, Self-Paced Learning V3 (Healthcare)
R 2145.00
ACERT76-069_rev3.0: AI+ Program Director Practitioner, Self-Paced Learning V3 (Business)
Duration: Self-Paced, 40 hours of content
The AI+ Program Director Practitioner certification equips leaders with the skills to design, implement, and oversee AI-driven initiatives across organizational functions. This program provides strategic expertise in AI governance, project planning, ethical deployment, and cross-functional coordination. Participants learn to align AI solutions with business goals, manage multidisciplinary teams, and ensure responsible, compliant AI adoption. By mastering both technical foundations and executive-level decision-making, certified professionals can drive innovation, optimize operations, and guide their organizations through successful AI transformation.
Why This Certification Matters
- Leadership in AI Initiatives: Gain the skills to lead AI projects, ensuring alignment with business goals and successful project execution from start to finish.
- Strategic AI Integration: Learn how to seamlessly integrate AI solutions into existing systems, driving innovation and improving operational efficiency across departments.
- Optimized Program Management: Develop expertise in managing resources, timelines, and cross-functional teams to deliver AI projects on time and within budget.
- Enhanced Decision-Making: Equip yourself with the ability to make data-driven, AI-informed decisions that drive business growth and competitive advantage.
- Future-Proof Your Career: Prepare for leadership roles in AI by mastering program management skills that are critical for navigating the rapidly evolving AI landscape.
Please use the links below to download additional information about this course:
Executive Summary: ai-program-director-practitioner-executive summary.pdf
Course Outline: ai-program-director-practitioner-detailed-curriculum.pdf
Exam Blueprint: ai-program-director-practitioner-blueprint.pdf
AI+ Program Director Practitioner, Self-Paced Learning V3 (Business)
R 5445.00
ACERT76-070_rev3.0: AI+ Healthcare Administrator, Self-Paced Learning V3 (Healthcare)
Duration: Self-Paced, 8 hours of content
The AI+ Healthcare Administrator certification prepares professionals to lead the integration and management of AI technologies in healthcare organizations. Focusing on both technical and administrative aspects, the certification covers key areas such as AI implementation, healthcare data management, patient care optimization, and regulatory compliance. Participants will learn how to leverage AI for enhancing operational efficiency, improving decision-making, and ensuring patient privacy and data security. The program also addresses ethical concerns, sustainability, and AI governance, providing administrators with the tools to drive digital transformation while maintaining high standards in healthcare delivery and administration.
Why This Certification Matters
- Operational Excellence with AI: Administrators gain the ability to streamline scheduling, billing, claims, and routine workflows through intelligent automation.
- Data-Driven Administrative Leadership: Predictive analytics supports smarter decisions across staffing, patient flow, inventory, and overall resource utilization.
- Enhanced Patient-Centric Administration: AI tools help reduce wait times, improve coordination, and support more personalized service delivery.
- Stronger Compliance and Risk Oversight: AI-enabled monitoring ensures better adherence to regulations, data-privacy requirements, and audit standards.
- A Future-Ready Administrative Skillset: Certification builds critical competencies for emerging AI-powered healthcare environments, strengthening long-term career growth.
Please use the links below to download additional information about this course:
Executive Summary: ai-healthcare-administrator-executive summary.pdf
Course Outline: ai-healthcare-administrator-detailed-curriculum.pdf
Exam Blueprint: ai-healthcare-administrator-blueprint.pdf
AI+ Healthcare Administrator, Self-Paced Learning V3 (Healthcare)
R 2145.00
ACERT76-068_rev3.0: AI+ Context Engineering, Self-Paced Learning V3 (Development)
Duration: Self-Paced, 8 hours of content
The AI+ Context Engineering certification program is designed to equip professionals with the knowledge and skills necessary to integrate artificial intelligence in context-aware systems. It covers key concepts like machine learning, natural language processing, and data analytics, enabling participants to create intelligent systems that can adapt to varying environments. The program emphasizes real-world applications in areas such as IoT, smart devices, and personalized experiences. Participants will gain hands-on experience in deploying AI models that respond to dynamic contexts, making them proficient in developing cutting-edge, adaptive solutions. This certification prepares professionals for roles in AI-driven industries.
Why This Certification Matters
- Go beyond prompts: Learn to engineer instructions, tools, memory, and state so AI behaves reliably.
- Production-ready systems: Build RAG + context pipelines that reduce hallucinations and improve grounding.
- Scale with efficiency: Master selection + compression to control token cost, latency, and performance.
- Enterprise-safe AI: Apply PII controls, role-based filtering, and conflict resolution for compliant deployments.
- Real deliverable: Complete a multi-agent capstone (n8n) with routing + calculations + policy RAG.
Please use the links below to download additional information about this course:
Executive Summary: ai-context-engineering-executive summary.pdf
Course Outline: ai-context-engineering-detailed-curriculum.pdf
Exam Blueprint: ai-context-engineering-blueprint.pdf
AI+ Context Engineering, Self-Paced Learning V3 (Development)
R 2145.00
ACERT76-067_rev3.0: AI+ Agile Project Management Fundamentals, Self-Paced Learning V3 (Business)
Duration: Self-Paced, 8 hours of content
The AI+ Agile Project Management Fundamentals certification provides essential skills for managing AIdriven projects using agile methodologies. This course covers key concepts of Agile project management, including Scrum, Kanban, and Lean principles, while integrating AI tools for project optimization. Learners will gain hands-on experience in creating adaptive project plans, improving team collaboration, and ensuring project success through AI-enhanced workflows. Ideal for professionals looking to lead AI projects with a modern, flexible approach, this certification equips participants with the knowledge to drive innovation and efficiency in their project management practices
Why This Certification Matters
- Rising Demand for Agile AI Leaders: Organizations adopting AI need project managers who can deliver faster, adaptive, and tech-driven outcomes.
- Faster Project Delivery: Agile frameworks help teams iterate quickly, reduce delays, and consistently meet evolving stakeholder expectations.
- Smarter Decision-Making with AI Insights: AI-powered analytics improve planning, forecasting, and risk assessment for more accurate project execution.
- Improved Collaboration and Transparency: Agile practices foster cross-functional teamwork, clear communication, and real-time progress visibility.
- Reduced Costs and Risks: Continuous feedback, automation, and incremental releases minimize rework, optimize budgets, and control project risks.
Please use the links below to download additional information about this course:
Executive Summary: ai-agile-project-management-fundamentals-executive summary.pdf
Course Outline: ai-agile-project-management-fundamentals-detailed-curriculum.pdf
Exam Blueprint: ai-agile-project-management-fundamentals-blueprint.pdf
AI+ Agile Project Management Fundamentals, Self-Paced Learning V3 (Business)
R 2145.00
ACERT76-066_rev3.0: Executive Introduction to RSAIF, Self-Paced Learning V3 (Executive)
Duration: Self-Paced, 4 hours of content
This certification program provides an extensive understanding of AI governance, security, and ethical principles. It explores the Responsible & Secure AI for the Future (RSAIF) and NIST frameworks, focusing on the critical domains of
AI risk management, including security, privacy, legal compliance, trust, and governance. Participants will examine real-world case studies to identify vulnerabilities like adversarial attacks, data poisoning, and bias, and learn how to address these risks. The program also emphasizes the executive’s role in overseeing AI systems, ensuring they are ethically sound, transparent, and compliant, fostering trust and accountability in AI deployments across diverse industries
Why This Certification Matters
- C-suite Executives: For CEOs, CTOs, and CIOs leading AI initiatives with a focus on security, compliance, and ethical governance
- Policy Makers: Ideal for officials shaping AI policies and ensuring regulatory compliance with standards like GDPR and the EU AI Act.
- Risk and Compliance Managers: Perfect for professionals managing AI risks and ensuring systems meet compliance and ethical standards.
- IT Security Leaders: Targeted at CISOs overseeing AI system security and protecting against adversarial threats and data breaches.
- AI Project Managers: Designed for managers leading AI projects, ensuring governance, risk management, and ethical oversight.
Please use the links below to download additional information about this course:
Executive Summary: executive-introduction-of-RSAIF-executive summary.pdf
Course Outline: executive-introduction-of-RSAIF-detailed curriculum.pdf
Exam Blueprint: executive-introduction-of-RSAIF-blueprint.pdf
Executive Introduction to RSAIF, Self-Paced Learning V3 (Executive)
R 2145.00
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The AWS Fundamentals Skill Labs is a hands-on, browser-based learning environment designed to bridge the gap between theoretical cloud knowledge and real-world application.
Instead of just watching videos, you are placed in a live AWS sandbox where you build, configure, and troubleshoot actual cloud infrastructure.
To download the full course outline, please click on the link below:
ACI76-021SL_r1.0-pdf
AWS Fundamentals, Skill Labs (T3PQ7CHQCU)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The Azure Storage Management Skill Labs is hands-on training provided by ACI Learning that covers essential Azure data storage tasks, often aligned with certifications like AZ-104 (Azure Administrator) or AZ-900 (Fundamentals).
These labs focus on the administrative, security, and configuration aspects of Azure storage, often as part of the AZ-104 Administrator curriculum.
To download the full course outline, please click on the link below:
ACI76-026SL_r1.0-pdf
Azure Storage Management, Skill Lab (S66ZTUQAF6)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The Azure Security Concepts lab, often associated with ACI Learning and the AZ-900 or PLAB-AZ4 curricula, is a hands-on, virtualized environment designed to teach foundational security practices in Microsoft Azure. These labs provide real virtual machines rather than simulations, allowing users to configure security features directly in a safe cloud workspace.
To download the full course outline, please click on the link below:
ACI76-025SL_r1.0-pdf
Azure Security Concepts, Skill Lab (SVQQRQBVH3)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The ACI Learning Azure Management Concepts Skill Lab provides hands-on, virtualized experience with Microsoft Azure administration in a secure, interactive environment. It covers fundamental topics such as navigating the Azure Portal, resource organization, and managing governance tools like resource locks.
To download the full course outline, please click on the link below:
ACI76-024SL_r1.0-pdf
Azure Management Concepts, Skill Labs (EP57QVF76Y)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
Azure Fundamentals (AZ-900) skill labs provide hands-on experience with Microsoft Azure, allowing you to create and manage resources—such as virtual machines, storage, and networking. These labs cover key concepts like security, governance, and cost management to prepare for the certification.
To download the full course outline, please click on the link below:
ACI76-023SL_r1.0-pdf
Azure Fundamentals, Skill Labs (QZJD6Q3M8P)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The AWS (Amazon Web Services) Cloud Practitioner certification serves as the ideal starting point for technical and non-technical professionals to build expertise in the AWS cloud. This course provides a foundational introduction to AWS's most popular cloud services, including EC2, Lambda, S3, EBS, VPC, and RDS. You'll learn the core concepts of cloud computing and see how billing and pricing strategies can save companies money on their IT infrastructure. The course also explores cloud security and compliance solutions, covering every objective and service listed on the Cloud Practitioner exam objectives
Course Learning Objectives:
1) Explain foundational cloud concepts.
2) Use popular AWS services, including EC2, Lambda, S3, EBS, and VPC.
3) Apply fundamental security best practices in AWS.
4) Use pricing models and information resources to manage cloud costs.
To download the full course outline, please click on the link below:
ACI76-022SL_r1.0-pdf
AWS Certified Cloud Practitioner (CLF-C01), Skill Labs (MWNWGZWK2U)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The AWS (Amazon Web Services) Cloud Practitioner certification serves as the ideal starting point for technical and non-technical professionals to build expertise in the AWS cloud. This course provides a foundational introduction to AWS's most popular cloud services, including EC2, Lambda, S3, EBS, VPC, and RDS. You'll learn the core concepts of cloud computing and see how billing and pricing strategies can save companies money on their IT infrastructure. The course also explores cloud security and compliance solutions, covering every objective and service listed on the Cloud Practitioner exam objectives Course Learning Objectives: 1) Explain foundational cloud concepts. 2) Use popular AWS services, including EC2, Lambda, S3, EBS, and VPC. 3) Apply fundamental security best practices in AWS. 4) Use pricing models and information resources to manage cloud costs.
To download the full course outline, please click on the link below:
ACI76-020SL_r1.0-pdf
AWS Certified Cloud Practitioner (CLF-C02), Skill Labs (ZS842JDPDR)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
CompTIA IT Fundamentals (ITF+) is a pre-career certification designed to help you explore a tech career by providing foundational knowledge and practical skills. It focuses on essential tech concepts and basic troubleshooting, building a solid foundation for your future learning and growth in the tech industry.
To download the full course outline, please click on the link below:
ACI76-015SL_r1.0-pdf
CompTIA IT Fundamentals (Exam FC0-U61), Skill Labs (STZWB8QUAG)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
ChatGPT is used in cybersecurity for threat intelligence analysis, accelerating incident response, automating routine tasks, creating security training content, and aiding in penetration testing by analyzing code vulnerabilities. It helps professionals quickly interpret complex data, such as parsing logs, writing scripts (e.g., Python, KQL), and identifying vulnerabilities in software code.
To download the full course outline, please click on the link below:
ACI76-018SL_r1.0-pdf
Applications of CyberSecurity Using ChatGPT, Skill Labs (3TARJ5DKF2)
R 2137.30
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The 70-764 Lab will help you learn Microsoft SQL Server 2016. By completing the lab tasks, you will improve your practical skills in configuring access to data and auditing, managing backups and restoring a database, managing and monitoring SQL Server instances, managing high availability and disaster recovery.
To download the full course outline, please click on the link below:
ACI76-017SL_r1.0-pdf
AI/ML in Cybersecurity Labs (Cybersecurity Analytics), Skill Labs (FFFVT9JGDB)
R 2137.30
ACI76-016SL_rev1.0: Administering a SQL Database Infrastructure, Skill Labs (AM94BME49D)
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The 70-764 Lab will help you learn Microsoft SQL Server 2016. By completing the lab tasks, you will improve your practical skills in configuring access to data and auditing, managing backups and restoring a database, managing and monitoring SQL Server instances, managing high availability and disaster recovery.
To download the full course outline, please click on the link below:
ACI76-016SL_r1.0-pdf
Administering a SQL Database Infrastructure, Skill Labs (AM94BME49D)
R 2137.30
ACI76-029SL_rev1.0: CompTIA SEC AI+ (CY0-001), Skill Labs (QQPWVNMTFR)
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
The CompTIA SecAI+ (CY0-001) Aligned Skill Lab Set equips students with hands-on experience securing AI systems across the full lifecycle — from foundational AI concepts and prompt engineering to threat modeling, governance, compliance, and operational defense. Aligned directly to SecAI+ objectives, this lab series prepares learners to identify AI-enabled threats, implement layered security and access controls, protect data pipelines, monitor and audit AI deployments, and apply responsible AI governance frameworks. Students gain both the offensive and defensive perspective needed in modern cybersecurity roles — learning not only how adversaries weaponize AI, but how to securely design, deploy, monitor, and defend AI driven systems in real-world environments.
To download the full course outline, please click on the link below:
ACI76-029SL_r1.0-pdf
CompTIA SEC AI+ (CY0-001), Skill Labs (QQPWVNMTFR)
R 2137.30
ACI76-028SL_rev1.0: Applied AI Skills & Workflow Design, Skill Labs (CDQF3H7CUJ)
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
This lab set builds practical, job-ready AI fluency across research, data analysis, communication, software development, and testing workflows. Learners move beyond theory to apply AI tools in real-world scenarios — validating information, transforming data into insight, tailoring technical communication, collaborating with AI on code, and accelerating test-driven development.
Across the series, participants strengthen critical thinking, prompt engineering, oversight, governance, and quality control — developing the skills needed to integrate AI responsibly, securely, and effectively into professional cybersecurity and technical environments.
To download the full course outline, please click on the link below:
ACI76-028SL_r1.0-pdf
Applied AI Skills & Workflow Design, Skill Labs (CDQF3H7CUJ)
R 1563.10
ACI76-027SL_rev1.0: Foundational AI Literacy, Skill Labs (89Z7U5KSWQ)
What are Skill Labs?
A skills lab is a guided, hands-on learning environment that allows students to practice real-world tasks in a safe, virtual setting. Instead of simply reading or watching videos, learners actively do the work—navigating realistic scenarios, applying concepts, troubleshooting issues, and building confidence through practical experience. This ensures that theory becomes usable skill. Skill labs are essential for developing true workplace readiness because they mirror real systems, tools, and challenges, helping learners bridge the gap between knowledge and performance. By completing a skills lab, students gain the hands-on competence employers expect and are better prepared for both assessments and real job responsibilities.
Course Introduction
This lab set builds secure, responsible, and job-ready AI fluency for cybersecurity professionals. Learners move from foundational AI concepts to real-world application — mastering prompt engineering, risk evaluation, governance, compliance, and secure AI lifecycle practices. The result: professionals who don’t just use AI—they use it safely, strategically, and in alignment with SecAI+ standards.
To download the full course outline, please click on the link below:
ACI76-027SL_r1.0-pdf
Foundational AI Literacy, Skill Labs (89Z7U5KSWQ)
R 1563.10
ACERT76-054_rev3.0: AI+ Security-Level 3, Self-Paced Learning V3 (Security)
Duration: Self-Paced, 40 hours of content
The AI+ Security Level 3 course provides a comprehensive exploration of the intersection between AI and cybersecurity, focusing on advanced topics critical to modern security engineering. It covers foundational concepts in AI and machine learning for security, delving into areas like threat detection, response mechanisms, and the use of deep learning for security applications. The course addresses the challenges of adversarial AI, network and endpoint security, and secure AI system engineering, along with emerging topics such as AI for cloud, container security, and blockchain integration. Key subjects also include AI in identity and access management (IAM), IoT security, and physical security systems, culminating in a hands-on capstone project that tasks learners with designing and engineering AI-driven security solutions.
Why This Certification Matters
- IoT Security Using AI: Demonstrates advanced competency in AI-powered security architectures and controls.
- Deep learning algorithms: Exam includes advanced scenario-based assessments focused on strategic cyber defense decision-making.
- AI-Driven Network Security: Advanced exam scenarios focused on enterprise-level security challenges.
- Endpoint Protection with AI: Validates readiness for executive and CISO-level cybersecurity leadership roles.
Please use the links below to download additional information about this course:
Executive Summary: ai-security-level-3-executive-summary.pdf
Course Outline: ai-security-level-3-course-outline.pdf
Exam Blueprint: ai-security-level-3-blueprint.pdf
AI+ Security-Level 3, Self-Paced Learning V3 (Security)
R 5445.00
ACERT76-051_rev3.0: AI+ Security Compliance, Self-Paced Learning V3 (Security)
Duration: Self-Paced, 40 hours of content
The AI+ Security Compliance is an advanced course that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this course focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This course introduces you to the core principles of cyber security compliances, while exploring the potential of AI to enhance your security posture. This course structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, providing learners with the necessary skills to ensure compliance and enhance security through AI technologies.
Why This Certification Matters
- Comprehensive Cybersecurity Knowledge: Validates comprehensive knowledge of cybersecurity compliance, aligned with the CISSP framework, to demonstrate competency in safeguarding organizations.
- AI-Powered Risk Management: Validates capability in AI can enhance risk management practices, offering smarter solutions to mitigate security threats.
- Regulatory Compliance Integration: Understand how to align AI-driven security measures with evolving regulatory standards, ensuring legal compliance.
- Advanced Security Posture: Demonstrates competency in enhancing your organization's security posture by applying AI technologies to strengthen defense mechanisms.
- In-Demand Expertise: Validates your competency with cutting-edge AI and cybersecurity compliance knowledge, positioning you as a leader in the industry.
Please use the links below to download additional information about this course:
Executive Summary: ai-security-compliance-executive-summary.pdf
Course Outline: ai-security-compliance-course-outline.pdf
Exam Blueprint: ai-security-compliance-blueprint.pdf
AI+ Security Compliance, Self-Paced Learning V3 (Security)
R 5445.00
ACERT76-059_rev3.0: Bitcoin+ Security, Self-Paced Learning V3 (Blockchain and Bitcoin)
Duration: Self-Paced, 30 hours of content
The Bitcoin+ Security Certificate program provides an in-depth exploration of Bitcoin security, covering fundamental cryptographic principles, blockchain ledger security, and consensus protocols like Proof of Work. Participants will delve into Bitcoin scripting, transaction security, and network protocol security, while also learning best practices for wallet security and understanding various exploits and vulnerabilities. The course addresses the legal and regulatory landscape, examines emerging threats such as quantum computing, and highlights innovations shaping the future of Bitcoin security. By emphasizing comprehensive security policies, risk management, and continuous education, this program equips students, professionals, and enthusiasts with the knowledge and skills to navigate and innovate in the dynamic field of Bitcoin security.
Why This Certification Matters
- Rising Demand for Bitcoin Security Experts: Organizations are increasingly in need of security experts who can safeguard Bitcoin operations, prevent cyberattacks, and ensure the integrity of decentralized systems.
- Growing Security Risks: Without a deep understanding of Bitcoin security risks and vulnerabilities, businesses may face threats like hacking, fraud, and network breaches.
- Critical Role of Certified Professionals: Certified Bitcoin security professionals play a critical role in building secure, scalable solutions that protect both financial assets and data.
- Staying Ahead in Bitcoin Security: As Bitcoin security challenges grow, this certification ensures that professionals remain up-to-date with the latest security protocols.
Please use the links below to download additional information about this course:
Executive Summary: bitcoin-security-executive-summary.pdf
Course Outline: bitcoin-security-course-outline.pdf
Exam Blueprint: bitcoin-security-blueprint.pdf
Bitcoin+ Security, Self-Paced Learning V3 (Blockchain and Bitcoin)
R 5445.00
ACERT76-058_rev3.0: Blockchain+ Developer, Self-Paced Learning V3 (Blockchain and Bitcoin)
Duration: Self-Paced, 30 hours of content
The Blockchain+ Developer certification offers a comprehensive journey into blockchain technology and smart contracts. Beginning with the origin and structure of blockchain, participants explore consensus mechanisms and the concept of smart contracts, delving into Ethereum Virtual Machine (EVM) and Solidity basics. Advanced topics cover Solidity structures, tokenization, and non-fungible tokens (NFTs). Development tools like Truffle and Ganache are introduced, along with testing techniques and DApp integration. Participants then explore private blockchain with Hyperledger Fabric, learning its architecture, Docker setup, and Golang programming. The course culminates in chaincode development, REST API integration, and chaincode auditing
Why This Certification Matters
- High Demand for Blockchain Developers: Organizations are increasingly seeking blockchain developers who can create innovative, scalable solutions and drive the adoption of decentralized technologies.
- Challenges of Limited Blockchain Expertise: Without hands-on expertise in blockchain development, developers may struggle to implement effective solutions and optimize blockchain infrastructure.
- Impact of Certified Blockchain Developers: Certified blockchain developers are key to advancing decentralized applications (DApps), ensuring robust functionality, security, and scalability.
- Adapting to Blockchain Advancements: As blockchain technology continues to evolve, this certification ensures developers are up-to-date with the latest tools, frameworks, and industry practices.
Please use the links below to download additional information about this course:
Executive Summary: blockchain-developer-executive-summary.pdf
Course Outline: blockchain-developer-course-outline.pdf
Exam Blueprint: blockchain-developer-blueprint.pdf
Blockchain+ Developer, Self-Paced Learning V3 (Blockchain and Bitcoin)
R 5445.00
ACERT76-057_rev3.0: Bitcoin+ Developer, Self-Paced Learning V3 (Blockchain and Bitcoin)
Duration: Self-Paced, 30 hours of content
Bitcoin+ Developer™ certification program offers comprehensive training, covering fundamentals of Bitcoin and the underlying Blockchain technology, fundamentals of bitcoin scripting, building applications using bitcoin scripts, Layer 2 scaling solutions, real-world use cases, security best practices, integration with SDK/APIs, and insights into future trends. The program culminates with a hands-on project work for practical application and a capstone project.
Why This Certification Matters
- High Demand for Certified Bitcoin Developers: Organizations are actively seeking certified developers who can create secure, efficient, and scalable Bitcoin applications and solutions.
- Challenges of Outdated Blockchain Knowledge: Outdated coding practices and a lack of in-depth knowledge about blockchain can limit a developer’s ability to build innovative and effective Bitcoin solutions.
- Advancing Bitcoin Development: Certified Bitcoin developers play a pivotal role in shaping the future of blockchain technology, ensuring that applications are cutting-edge, secure.
- Staying Ahead in the Evolving Bitcoin Ecosystem: As the Bitcoin ecosystem grows, this certification ensures developers stay ahead of the curve, empowering them.
Please use the links below to download additional information about this course:
Executive Summary: bitcoin-developer-executive-summary.pdf
Course Outline: bitcoin-developer-course-outline.pdf
Exam Blueprint: bitcoin-developer-blueprint.pdf
Bitcoin+ Developer, Self-Paced Learning V3 (Blockchain and Bitcoin)
R 5445.00
ACERT76-056_rev3.0: AI+ Cloud, Self-Paced Learning V3 (Cloud)
Duration: Self-Paced, 40 hours of content
The AI+ Cloud™ certification program targets developers and IT professionals aspiring to excel in cloud computing integrated with artificial intelligence. The curriculum offers an in-depth exploration of AI and cloud computing, encompassing advanced cloud infrastructure and AI model deployment. Participants gain practical insights into cloud-based AI applications, culminating in an interactive capstone project. With these skills, graduates are primed to navigate the dynamic AI+ Cloud™ integration landscape, equipped to design and implement AI solutions seamlessly within cloud environments for sustained success.
Why This Certification Matters
- Leverage AI for Smarter Leadership Decisions: Learn how to harness AI tools to streamline operations, enhance strategic planning, and drive performance.
- Enhance AI Integration Across the Organization: Use AI to accelerate the integration of AI-driven solutions, automating processes.
- Stay Ahead in AI-Driven Innovation: As demand for AI expertise rises, Chief AI Officers with advanced AI knowledge are highly sought after to spearhead AI.
- Boost Strategic Decision-Making with AI Analytics: Master AI models to analyze business data, predict outcomes, and enable more informed, real-time decisions.
- Advance Your Career in AI Leadership: With AI reshaping industries, this certification equips you with the skills needed to lead AI initiatives.
Please use the links below to download additional information about this course:
Executive Summary: ai-cloud-executive-summary.pdf
Course Outline: ai-cloud-course-outline.pdf
Exam Blueprint: ai-cloud-blueprint.pdf
AI+ Cloud, Self-Paced Learning V3 (Cloud)
R 5445.00
ACERT76-055_rev3.0: AI+ Architect, Self-Paced Learning V3 (Cloud)
Duration: Self-Paced, 40 hours of content
The AI+ Architect certification offers comprehensive training in advanced neural network techniques and architectures. It covers the fundamentals of neural networks, optimization strategies, and specialized architectures for natural language processing (NLP) and computer vision. Participants will learn about model evaluation, performance metrics, and the infrastructure required for AI deployment. The course emphasizes ethical considerations and responsible AI design, alongside exploring cutting-edge generative AI models and research-based AI design methodologies. A capstone project and course review consolidate learning, ensuring participants can apply their skills effectively in real-world scenarios. This certification equips learners with the knowledge and practical experience to excel in AI architecture and development.
Why This Certification Matters
- Leverage AI for Smarter Architecture Decisions: Learn how to use AI tools to optimize architectural design, improve scalability.
- Enhance AI Integration in Architectural Projects: Use AI to integrate innovative solutions into your architectural designs, automating workflows.
- Stay Ahead in AI-Powered Architecture Innovation: As AI adoption in architecture accelerates, professionals with advanced AI knowledge.
- Boost Strategic Decision-Making with AI Insights: Master AI models to analyze architectural data, predict trends, and drive data-driven decisions.
- Advance Your Career in AI Architecture: As AI revolutionizes architecture, this certification equips you with the skills to lead AI initiatives.
Please use the links below to download additional information about this course:
Executive Summary: ai-architect-executive-summary.pdf
Course Outline: ai-architect-course-outline.pdf
Exam Blueprint: ai-architect-blueprint.pdf
AI+ Architect, Self-Paced Learning V3 (Cloud)
R 5445.00
ACERT76-053_rev3.0: AI+ Security-Level 2, Self-Paced Learning V3 (Security)
Duration: Self-Paced, 40 hours of content
This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.
Why This Certification Matters
- Comprehensive AI-Cybersecurity Integration: Validates intermediate-level competency in AI-driven security defense mechanisms.
- Practical Python Programming Skills: Demonstrates competency in detecting and responding to modern cyber threats.
- Advanced Threat Detection Techniques: Exam includes scenario-based questions reflecting real-world cybersecurity incidents.
- Cutting-Edge AI Algorithms: Validates readiness for intermediate to senior-level cybersecurity responsibilities.
Please use the links below to download additional information about this course:
Executive Summary: ai-security-level-2-executive-summary.pdf
Course Outline: ai-security-level-2-course-outline.pdf
Exam Blueprint: ai-security-level-2-blueprint.pdf
AI+ Security-Level 2, Self-Paced Learning V3 (Security)
R 5445.00
ACERT76-048_rev3.0: AI+ Telecommunications, Self-Paced Learning V3 (Development)
Duration: Self-Paced, 40 hours of content
This 5-days course on AI+ Telecommunications provides an in-depth exploration of how artificial intelligence enhances various aspects of the telecom industry. Key topics include the implementation of 5G technologies, which offer improved speed and connectivity, and the critical roles of Quality of Service (QoS) and Quality of Experience (QoE) in ensuring optimal network performance and user satisfaction. Participants will learn about AI-driven network optimization, predictive maintenance, and cybersecurity strategies to safeguard telecom infrastructure. The curriculum also covers natural language processing for customer interactions and IoT integration for smart network management. Through hands-on projects, learners will apply AI techniques to real-world scenarios, culminating in a capstone project that synthesizes their knowledge and skills in addressing contemporary challenges in telecommunications. This course equips participants with the expertise to leverage AI effectively in their organizations, driving innovation and enhancing service delivery.
Why This Certification Matters
- AI-Powered Telecom Innovation: Learn to integrate AI technologies to enhance telecom services, from 5G to cybersecurity.
- Practical, Hands-On Learning: Engage in real-world projects, simulating AI applications across various telecom domains.
- Cutting-Edge Industry Relevance: Stay ahead of emerging trends like AI-driven network optimization and IoT integration.
- Comprehensive Skill Development: Gain expertise in data engineering, AI algorithms, and predictive maintenance for telecom infrastructure.
- Ethical & Strategic Insights: Explore ethical considerations in AI deployment and its impact on the telecom industry.
Please use the links below to download additional information about this course:
Executive Summary: ai-telecommunications-executive-summary.pdf
Course Outline: ai-telecommunications-detailed-curriculum.pdf
Exam Blueprint: ai-telecommunications-blueprint.pdf
AI+ Telecommunications, Self-Paced Learning V3 (Development)
R 5445.00
ACERT76-047_rev3.0: AI+ Prompt Engineer-Level 2, Self-Paced Learning V3 (Development)
Duration: Self-Paced, 40 hours of content
The AI+ Prompt Engineer Level 2 certification is designed for developers aiming to master advanced prompt engineering techniques. This program equips learners with skills in crafting and optimizing prompts, integrating them with cutting-edge development tools, and applying them across diverse domains. Through project-based learning, participants gain practical experience by working on real-world AI projects. The curriculum explores advanced strategies, experimentation, and optimization, ensuring proficiency in creating impactful AI-driven solutions. Ideal for professionals looking to enhance their expertise, this certification bridges the gap between AI innovation and application, empowering developers to lead in the evolving field of prompt engineering.
Why This Certification Matters
- Master Advanced AI Prompting: The AI+ Prompt Engineer Level 2™ certification teaches developers to craft and optimize AI prompts for various applications.
- In-demand Expertise: As AI adoption grows, businesses seek professionals skilled in integrating prompt engineering into AI solutions.
- Driving AI Innovation: This certification helps professionals create impactful AI-driven solutions through effective prompt engineering.
- Lead AI Development: Certified Prompt Engineers enhance AI performance and contribute to innovative applications across industries.
- Competitive Advantage: With increasing demand for skilled prompt engineers, this certification boosts your career prospects in the AI field.
Please use the links below to download additional information about this course:
Executive Summary: ai-prompt-engineer-level-2-executive-summary.pdf
Course Outline: ai-prompt-engineer-level-2-course-outline.pdf
Exam Blueprint: ai-prompt-engineer-level-2-blueprint.pdf
AI+ Prompt Engineer-Level 2, Self-Paced Learning V3 (Development)
R 5445.00
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