Generative AI & AI Agents

Build production generative AI systems and autonomous agents.

Build production generative AI systems and autonomous agents. A full online-university course with tutor videos, hands-on labs, a management-console lab, quizzes at every lesson and an Erudex certification, preparing you for the AWS Certified AI Practitioner (AIF-C01) awarded by AWS.

100h + 96h 2 certificates available

Generative AILLMsAgentsRAG

Curriculum

Two complete tracks. Study either or both — each has its own exam and certificate.

Generative AI & AI Agents — professional level — aws certified ai practitioner (aif-c01) track.

This 10-hour module uses tutor videos and lesson quizzes to establish AI and ML foundations, contributing half of Domain 1's official 20% exam weighting.

AI, Machine Learning, Deep Learning, and Generative AI Lab35 min
Supervised Learning for Classification and Regression Lab40 min
Unsupervised Learning for Clustering and Anomaly Detection Lab30 min
Reinforcement Learning and Reward-Driven Decisions Lab35 min
Data Types, Labels, and Feature Quality Lab40 min
Training, Validation, Testing, and Inference Lab30 min
Overfitting, Underfitting, and Generalization Lab35 min
Lab: Frame a Business Problem as an ML Task Lab40 min

You will learn to

Explain AI, ML, and generative AI concepts and select suitable AWS services for business scenarios.
Compare foundation models and deployment approaches using capability, quality, latency, cost, and operational requirements.
Prototype and evaluate guided Amazon Bedrock prompting, RAG, and bounded tool-using agent workflows.
Assess responsible AI risks and propose appropriate fairness, transparency, security, compliance, and governance controls.
Demonstrate readiness across all five AIF-C01 exam domains and complete the separate Erudex course certification while preparing for the AWS-administered certification exam.

Prerequisites

• Basic computer literacy and familiarity with cloud concepts; prior ML experience or an AWS certification is not required.
• Basic familiarity with APIs and JSON is helpful for guided labs, but advanced programming and model training are not required.
• Access to an AWS sandbox with appropriate permissions, available Amazon Bedrock models, and a defined lab spending budget.

Format

80 lessons · ~100 hours · 20-question exam

Careers this prepares you for

AI Specialist
AI Engineer
Applied Scientist

How you study

Every lesson pairs an in-depth video with written notes, key takeaways, a hands-on lab, exercises and a quiz. Work at your own pace, then sit the final examination for your Erudex certificate.

Generative AI & AI Agents

Curriculum

Module 1Module 1 — Domain 1: Fundamentals of AI and ML — Concepts and Learning Methods

Module 2Module 2 — Domain 1: Fundamentals of AI and ML — AWS Services and the ML Lifecycle

Module 3Module 3 — Domain 2: Fundamentals of Generative AI — Models, Capabilities, and Limitations

Module 4Module 4 — Domain 2: Fundamentals of Generative AI — AWS Capabilities and Economics

Module 5Module 5 — Domain 3: Applications of Foundation Models — Prompting and Model Adaptation

Module 6Module 6 — Domain 3: Applications of Foundation Models — RAG, Agents, and Evaluation

Module 7Module 7 — Domain 4: Guidelines for Responsible AI — Fairness, Safety, and Human Oversight

Module 8Module 8 — Domain 4: Guidelines for Responsible AI — Explainability, Transparency, and Assessment

Module 9Module 9 — Domain 5: Security, Compliance, and Governance — Securing AI Systems

Module 10Module 10 — Domain 5: Security, Compliance, and Governance — Controls, Assurance, and Exam Readiness

Careers this prepares you for

How you study