Build Real AI Skills on AWS:
Beginner to Specialist Pathways
A guided AWS AI learning journey for beginners, technologists, and future AI specialists.
Advance AI Mastery,
Accelerate Impact
Build practical AI skills on AWS through structured learning pathways,
from beginner to specialist.
Why Train
Elevate your AI capabilities through curated learning pathways designed to meet evolving business demands and drive workforce innovation.
Stats on Training
Redefine Your Worth in the Age of AI
AI is already embedded in the workplace, with 87% of employees using it weekly yet 77% of leaders say workforce upskilling remains a critical challenge.
No surprise that 84% of professionals are now seeking AI training to stay relevant.
Source: KPMG Workforce Survey; KPMG Global CEO Outlook 2025"
What you'll gain
Hands-on cloud experience with real-world AWS scenarios.
In-demand technical skills aligned to industry needs.
Globally recognized certifications to boost your credibility.
Faster career growth with job-ready, practical knowledge.
Confidence to design, build, and scale cloud solutions.
Access to expert-led training and best practices from AWS.
Certifications
Support your learning with AWS certifications:
AWS Certified AI Practitioner
AWS Certified Generative
AI Developer – Professional
AWS Certified Machine
Learning Engineer – Associate
Certifications are optional and aligned to each pathway.
Learning Formats
AWS Skill Builder
self‑paced learning
Instructor‑led virtual
or in‑person training
Hands‑on labs
and optional Jams
Paid Skill Builder subscription
required for selected content
Best suited for:
Beginners with limited or no prior experience in AI or machine learning.
What you’ll learn:
Core AI and ML concepts explained simply
Generative AI fundamentals and real use cases
Hands‑on experience using no‑code and low‑code tools on AWS
Optional preparation for the AWS Certified AI Practitioner exam
Key learning components include:
AWS Artificial Intelligence Practitioner Learning Plan
No‑Code Machine Learning & Generative AI on AWS (with labs)
Generative AI Essentials on AWS
Optional certification exam prep
This course is ideal for business professionals, students, career switchers, and early technologists.
Stage 1: Foundations
AWS Artificial Intelligence Practitioner Learning Plan
Course Code: AWS - GA
Mode: Self‑paced (AWS Skill Builder)
8 × 1‑hour courses
The AWS Artificial Intelligence Practitioner Learning Plan is a beginner-friendly program for technical and non-technical professionals covering AI fundamentals, Generative AI, prompt engineering, responsible AI, and AWS AI services.
AWS Skill Builder Self- Paced Online Content
Stage 2: Applied Basics
No-Code Machine Learning and Generative AI on AWS
Course Code: AWS - GA
Mode: Requires paid AWS Skills Builder and Self‑paced content with hands‑on labs
10 hours
No-Code Machine Learning and Generative AI on AWS is a beginner-friendly course designed for non-technical and technical learners to explore AI and machine learning without heavy coding.
Stage 3: Core Generative AI
Generative AI Essentials on AWS
Course Code:
Mode: Instructor-led (virtual or in-person)
1 day
Deeper understanding of Generative AI concepts through guided, practical learning.
Stage 4: Certification Readiness (Optional)
Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01 - English)
Course Code: AWSER-GA
Mode: Self-paced
Optional
Exam Readiness:
AWS Certified AI Practitioner (AIF-C01) is a one-day instructor-led training that helps you assess your readiness for the AWS Certified AI Practitioner exam, covering AI, ML, and generative AI concepts and use cases.
Stage 5: Exam Preparation (Optional)
Exam Prep: AWS Certified AI Practitioner
Course Code:
Mode: Instructor-led (virtual or in-person)
1 day (Optional)
Build confidence for the AWS Certified AI Practitioner (AIF-C01) exam by reviewing key AI, ML, and generative AI concepts, exam domains, and question types.
Exam Prep: (Optional)
AWS Certified AI Practitioner Certification
Course Code:
Mode: Instructor-led (virtual or in-person)
-
Industry‑recognized credential validating foundational AI and ML knowledge on AWS
Certification badge earned upon passing the exam
Best suited for:
Technologists looking to design and build autonomous, agent‑based AI systems on AWS.
Key learning components include:
Agentic AI concepts and architectures
How AI agents reason, plan, and act autonomously
Building and orchestrating agents using AWS services
Hands‑on labs and instructor‑led deep dives
What you’ll learn:
Agentic AI Foundations
AWS Agentic AI Learning Plan
Building Agentic AI with Amazon Bedrock AgentCore
Advanced Agentic Systems on AWS
Optional SDK hands‑on labs via AWS Skill Builder
Best for developers, architects, and AI engineers exploring next‑generation AI systems.
Stage 1
Generative AI Essentials on AWS
Course Code: AWS-GENAI-ESS
Mode: Instructor-led (Virtual / Classroom)
1 day
Provides a foundational understanding of generative AI, core concepts, and AWS services such as Amazon Bedrock.
Stage 2
Agentic AI Foundations
Course Code: AWS-AAIF
Mode: Instructor-led (Virtual / Classroom)
1 day
Introduces agent-based AI systems, focusing on autonomous workflows, decision-making, and orchestration patterns.
Stage 3
AWS Agentic AI Learning Plan
Course Code:
Mode: Online / Self-paced (AWS Skill Builder)
Varies (Self-paced)
Structured digital learning covering agent architecture, integrations, and real-world implementation use cases.
Stage 4
Strands SDK Hands-on Labs
Course Code: AWSER-GA
Mode: Hands-on Labs (Skill Builder – Subscription-based)
2 hours
Practical exercises to build and test agent-based workflows using SDK tools in a guided lab environment.
Stage 5
Building Agentic AI with Amazon Bedrock AgentCore
Course Code: AWS-BAC
Mode: Instructor-led (Virtual / Classroom)
1 day
Focuses on designing, deploying, and managing intelligent agents using Amazon Bedrock and AgentCore capabilities.
Stage 6
Building Advanced Agentic Systems on AWS
Course Code:
Mode: Instructor-led (Virtual / Classroom)
1 day
Covers advanced architectures, multi-agent coordination, and enterprise-scale deployment strategies.
Best suited for:
Technical professionals aiming to customize, deploy, and scale generative AI solutions on AWS.
What you’ll learn:
Working with foundation models on AWS
Developing generative AI applications
Advanced GenAI architectures and best practices
Optional preparation for AWS Generative AI certifications
Key learning components include:
Generative AI Essentials on AWS
Generative AI Learning Plan for Developers (self‑paced)
Developing Generative AI Applications on AWS (instructor‑led)
Advanced Generative AI Development on AWS
Optional certification exam prep for AI Practitioner and GenAI Developer
Designed for developers and builders ready to take GenAI into production.
Stage 1
Generative AI Essentials on AWS
Course Code: AWS-GENAI-ESS
Mode: Instructor-led (Virtual / Classroom)
1 day
Introduces core Generative AI concepts, terminology, and key AWS services used to support generative AI workloads.
Stage 2
Generative AI Learning Plan for Developers (+ Optional Labs)
Course Code: AWS-AAIF
Mode: Self-paced (AWS Skill Builder – Online)
20 hours
Provides structured, developer-focused learning covering generative AI fundamentals, model usage, and practical implementation concepts, with optional hands-on labs.
Stage 3
Developing Generative AI Applications on AWS (+ Optional Jam)
Course Code:
Mode: Instructor-led
2 days (or 3 days with Jam)
Focuses on designing, building, and deploying generative AI applications on AWS using real-world use cases and guided exercises.
Stage 4
AWS Certified AI Practitioner (Optional – Certification Path)
Course Code:
Mode: Self-paced Exam Preparation
As needed
Supports learners preparing for foundational AI certification through targeted exam prep content and structured study plans.
Includes:
– Exam Prep: AWS Certified AI Practitioner
(Optional – 1 day)
– Exam Prep Plan: AIF-C01 (English)
Stage 5
Advanced Generative AI Development on AWS
Course Code: AWS-BAC
Mode: Instructor-led
2–3 days
Explores advanced generative AI development techniques, optimization strategies, and architectural considerations on AWS.
Stage 6
Building Advanced Agentic Systems on AWS
Course Code:
Mode: Instructor-led (Virtual / Classroom)
1 day
Covers advanced architectures, multi-agent coordination, and enterprise-scale deployment strategies.
Best suited for:
Technologists who want to develop, train, and deploy traditional machine learning models on AWS.
What you’ll learn:
End‑to‑end ML engineering workflows
Data preparation and model training
Production ML and MLOps practices
Optional preparation for AWS Certified Machine Learning Engineer – Associate
Key learning components include:
AWS Technical Essentials
Machine Learning Engineering on AWS (+ Optional Jam)
Practical Data Science with Amazon SageMaker (optional)
MLOps Engineering on AWS (optional)
Optional exam prep plan for MLA‑C01 certification
Best for ML engineers, data scientists, and DevOps engineers
Foundation: AWS Core Knowledge
AWS Technical Essentials
Course Code:
Mode: Instructor‑Led (Virtual / In‑Person)
1 day
Build core AWS infrastructure understanding required for ML workloads.
Optional On‑Ramp: AI/ML Fundamentals
Practical Data Science with Amazon SageMaker (Optional)
Course Code:
Mode: Instructor‑Led + Hands‑On Labs
1 day
Ideal for technologists new to AI/ML who need a practical introduction using SageMaker.
Core Skill Development: ML Engineering
Machine Learning Engineering on AWS
Course Code:
Mode: Instructor‑Led + Hands‑On Labs
3 Days + Optional Jam (Guided Practice : 4 Days Total
Design, build, train, tune, and deploy traditional ML models on AWS.
Optional Specialization: Production ML
MLOps Engineering on AWS (Optional)
Course Code:
Mode: Instructor‑Led + Hands‑On Labs
3 days
Catered for engineers and DevOps professionals deploying and operating ML models at scale.
Certification Preparation
Exam Prep: AWS Certified Machine Learning Engineer – Associate (Optional)
Course Code:
Mode: Instructor‑Led Review Session
1 day
Focused exam readiness for learners pursuing AWS ML certification.
Self‑Paced Reinforcement
Exam Prep Plan (MLA‑C01 – English) (Optional)
Course Code:
Mode: Self‑Paced Online (AWS Skill Builder)
As needed
Additional self‑study resources, practice questions, and revision support.
Intructor-led virtual or in-person training
AWS Skill Builder self-paced online content
Requires paid AWS Skill Builder subscription
This course is ideal for business professionals, students, career switchers, and early technologists.
Best suited for:
What you’ll learn:
Key learning components include:
Beginners with limited or no prior experience in AI or machine learning.
Core AI and ML concepts explained simply
Generative AI fundamentals and real use cases
Hands‑on experience using no‑code and low‑code tools on AWS
Optional preparation for the AWS Certified AI Practitioner exam
AWS Artificial Intelligence Practitioner Learning Plan
No‑Code Machine Learning & Generative AI on AWS (with labs)
Generative AI Essentials on AWS
Optional certification exam prep
Stage 1: Foundations
AWS Artificial Intelligence Practitioner Learning Plan
Course Code: AWS - GA
Mode: Self‑paced (AWS Skill Builder)
8 × 1‑hour courses
The AWS Artificial Intelligence Practitioner Learning Plan is a beginner-friendly program for technical and non-technical professionals covering AI fundamentals, Generative AI, prompt engineering, responsible AI, and AWS AI services.
AWS Skill Builder Self- Paced Online Content
Stage 2: Applied Basics
No-Code Machine Learning and Generative AI on AWS
Course Code:
Mode: Requires paid AWS Skills Builder and Self‑paced content with hands‑on labs
10 hours
No-Code Machine Learning and Generative AI on AWS is a beginner-friendly course designed for non-technical and technical learners to explore AI and machine learning without heavy coding.
Stage 3: Core Generative AI
Generative AI Essentials on AWS
Course Code:
Mode: Instructor-led (virtual or in-person)
1 day
Deeper understanding of Generative AI concepts through guided, practical learning.
Stage 6 : Certification
AWS Certified AI Practitioner Certification
Course Code:
Mode: Instructor-led (virtual or in-person)
-
Industry‑recognized credential validating foundational AI and ML knowledge on AWS
Certification badge earned upon passing the exam
Stage 5: Exam Preparation (Optional)
Exam Prep: AWS Certified AI Practitioner
Course Code:
Mode: Instructor-led (virtual or in-person)
1 day (optional)
Build confidence for the AWS Certified AI Practitioner (AIF-C01) exam by reviewing key AI, ML, and generative AI concepts, exam domains, and question types.
Stage 4: Certification Readiness (Optional)
Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01 - English)
Course Code: AWSER-GA
Mode: Self-paced
Optional
Exam Readiness:
AWS Certified AI Practitioner (AIF-C01) is a one-day instructor-led training that helps you assess your readiness for the AWS Certified AI Practitioner exam, covering AI, ML, and generative AI concepts and use cases.
Best for developers, architects, and AI engineers exploring next‑generation AI systems.
Intructor-led virtual or in-person training
AWS Skill Builder self-paced online content
Requires paid AWS Skill Builder subscription
Best suited for:
What you’ll learn:
Key learning components include:
Technologists looking to design and build autonomous, agent‑based AI systems on AWS.
Agentic AI concepts and architectures
How AI agents reason, plan, and act autonomously
Building and orchestrating agents using AWS services
Hands‑on labs and instructor‑led deep dives
Agentic AI Foundations
AWS Agentic AI Learning Plan
Building Agentic AI with Amazon Bedrock AgentCore
Advanced Agentic Systems on AWS
Optional SDK hands‑on labs via AWS Skill Builder
Stage 1
Generative AI Essentials on AWS
Course Code: AWS-GENAI-ESS
Mode: Instructor-led (Virtual / Classroom)
1 day
Provides a foundational understanding of generative AI, core concepts, and AWS services such as Amazon Bedrock.
Stage 2
Agentic AI Foundations
Course Code: AWS-AAIF
Mode: Instructor-led (Virtual / Classroom)
1 day
Introduces agent-based AI systems, focusing on autonomous workflows, decision-making, and orchestration patterns.
Stage 3
AWS Agentic AI Learning Plan
Course Code:
Mode: Online / Self-paced (AWS Skill Builder)
Varies (Self-paced)
Structured digital learning covering agent architecture, integrations, and real-world implementation use cases.
Stage 6
Building Advanced Agentic Systems on AWS
Course Code:
Mode: Instructor-led (Virtual / Classroom)
1 day
Covers advanced architectures, multi-agent coordination, and enterprise-scale deployment strategies.
Stage 5
Building Agentic AI with Amazon Bedrock AgentCore
Course Code: AWS-BAC
Mode: Instructor-led (Virtual / Classroom)
1 day
Focuses on designing, deploying, and managing intelligent agents using Amazon Bedrock and AgentCore capabilities.
Stage 4
Strands SDK Hands-on Labs
Course Code: AWSER-GA
Mode: Hands-on Labs (Skill Builder – Subscription-based)
2 hours
Practical exercises to build and test agent-based workflows using SDK tools in a guided lab environment.
Designed for developers and builders ready to take GenAI into production.
Intructor-led virtual or in-person training
AWS Skill Builder self-paced online content
Requires paid AWS Skill Builder subscription
Best suited for:
What you’ll learn:
Key learning components include:
Technical professionals aiming to customize, deploy, and scale generative AI solutions on AWS.
Working with foundation models on AWS
Developing generative AI applications
Advanced GenAI architectures and best practices
Optional preparation for AWS Generative AI certifications
Generative AI Essentials on AWS
Generative AI Learning Plan for Developers (self‑paced)
Developing Generative AI Applications on AWS (instructor‑led)
Advanced Generative AI Development on AWS
Optional certification exam prep for AI Practitioner and GenAI Developer
Stage 1
Generative AI Essentials on AWS
Course Code: AWS-GENAI-ESS
Mode: Instructor-led (Virtual / Classroom)
1 day
Provides a foundational understanding of generative AI, core concepts, and AWS services such as Amazon Bedrock.
Stage 2
Generative AI Learning Plan for Developers (+ Optional Labs)
Course Code:
Mode: Self-paced (AWS Skill Builder – Online)
20 hours
Provides structured, developer-focused learning covering generative AI fundamentals, model usage, and practical implementation concepts, with optional hands-on labs.
Stage 3
Developing Generative AI Applications on AWS (+ Optional Jam)
Course Code:
Mode: Instructor-led
2 days (or 3 days with Jam)
Focuses on designing, building, and deploying generative AI applications on AWS using real-world use cases and guided exercises.
Stage 6
AWS Certified Generative AI Developer – Professional
Course Code:
Mode: Self-paced Exam Preparation
As needed
Provides in-depth exam preparation resources for professionals pursuing advanced certification in generative AI development on AWS.
Includes: – Exam Prep Plan: AIP-C01 (English)
Stage 5
Advanced Generative AI Development on AWS
Course Code:
Mode: Instructor-led
2–3 days
Explores advanced generative AI development techniques, optimization strategies, and architectural considerations on AWS.
Stage 4
AWS Certified AI Practitioner (Optional – Certification Path)
Course Code:
Mode: Self-paced Exam Preparation
As needed
Supports learners preparing for foundational AI certification through targeted exam prep content and structured study plans.
Includes:
– Exam Prep: AWS Certified AI Practitioner
(Optional – 1 day)
– Exam Prep Plan: AIF-C01 (English)
Best for ML engineers, data scientists, and DevOps engineers
Intructor-led virtual or in-person training
AWS Skill Builder self-paced online content
Requires paid AWS Skill Builder subscription
Best suited for:
What you’ll learn:
Key learning components include:
Technologists who want to develop, train, and deploy traditional machine learning models on AWS.
End‑to‑end ML engineering workflows
Data preparation and model training
Production ML and MLOps practices
Optional preparation for AWS Certified Machine Learning Engineer – Associate
AWS Technical Essentials
Machine Learning Engineering on AWS (+ Optional Jam)
Practical Data Science with Amazon SageMaker (optional)
MLOps Engineering on AWS (optional)
Optional exam prep plan for MLA‑C01 certification
Stage 1: Foundation - AWS Core Knowledge
AWS Technical Essentials
Course Code: AWS - GA
Mode: Instructor‑Led (Virtual / In‑Person)
1 day
Build core AWS infrastructure understanding required for ML workloads.
Optional On‑Ramp: AI/ML Fundamentals
Practical Data Science with Amazon SageMaker (Optional)
Course Code:
Mode: Instructor‑Led + Hands‑On Labs
1 day
Ideal for technologists new to AI/ML who need a practical introduction using SageMaker.
Stage 2: Core Skill Development: ML Engineering
Machine Learning Engineering on AWS
Course Code:
Mode: Instructor‑Led + Hands‑On Labs
3 Days + Optional Jam (Guided Practice : 4 Days Total
Design, build, train, tune, and deploy traditional ML models on AWS.
Stage 5: Self‑Paced Reinforcement
Exam Prep Plan (MLA‑C01 – English) (Optional)
Course Code:
Mode: Self‑Paced Online (AWS Skill Builder)
As needed
Additional self‑study resources, practice questions, and revision support.
Stage 4: Certification Preparation
Exam Prep: AWS Certified Machine Learning Engineer – Associate (Optional)
Course Code:
Mode: Instructor‑Led Review Session
1 day
Focused exam readiness for learners pursuing AWS ML certification.
Stage 3: Optional Specialization: Production ML
MLOps Engineering on AWS (Optional)
Course Code: AWSER-GA
Mode: Instructor‑Led + Hands‑On Labs
3 days
Catered for engineers and DevOps professionals deploying and operating ML models at scale.
Learning Formats
AWS Skill Builder
self‑paced learning
Instructor‑led virtual
or in‑person training
Hands‑on labs
and optional Jams
Paid Skill Builder subscription
required for selected content
Certifications (Optional)
Support your learning with AWS certifications:
AWS Certified AI Practitioner
AWS Certified Generative
AI Developer – Professional
AWS Certified Machine
Learning Engineer – Associate