Description

AWS Certified AI Practitioner (AIF-C01) course, designed for professionals who want to understand AI and its applications without heavy coding. This foundational course equips you with the knowledge and skills to identify, plan, and implement AI solutions on the AWS Cloud, leveraging the latest AI and machine learning technologies.

Through hands-on labs, real-world examples, and interactive exercises, you’ll learn how to harness AWS AI services to solve practical business challenges. By the end of this course, you’ll be prepared to take the AWS AI Practitioner certification exam and confidently apply AI concepts in your organization.

Who Should Take This Course:

Business analysts, product managers, and consultants exploring AI applications
Cloud practitioners who want to expand into AI
Non-technical professionals seeking foundational knowledge in AI and ML
Anyone aiming to earn the AWS Certified AI Practitioner certification

Key Learning Outcomes:

By the end of this course, participants will be able to:

Understand core AI and Machine Learning concepts and their business applications
Identify AI use cases and select appropriate AWS AI services
Use AWS AI services such as SageMaker, Comprehend, Rekognition, Lex, and Polly
Explore Generative AI workflows and prompt-based applications
Apply principles of Responsible AI including ethics, fairness, and privacy
Prepare effectively for the AWS Certified AI Practitioner (AIF-C01) exam

Job Market and How much does an AWS Certified AI Practitioner make?

Global AI adoption has risen sharply — from about 35% of organizations in 2022 to nearly 60% in 2024 — and is expected to continue increasing through 2025–2026 as companies embrace AI solutions. This surge drives demand for professionals who understand AI concepts and how to implement them responsibly.

AI and cloud credential holders consistently report higher earnings:

Typical salary trends for early‑stage AWS AI certified roles:

Entry / foundational AI roles: ~$88,000 – $117,000 (U.S. median)
As skills and experience grow: ~$140,000 – $165,000+ (roles applying AI engineering or solutions design)

The following topics will be covered as part of AWS Certified AI Practitioner Course.

Module 1 - Fundamentals of AI & Machine Learning

Key Topics

Artificial Intelligence basics
Machine Learning fundamentals
Deep Learning concepts
Neural networks overview
Types of ML:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
AI terminology:
- Model
- Training
- Inference
- Bias
- Fairness
Data types:
- Structured vs unstructured data
- Text, images, time-series data

AWS Services Concepts

Overview of AWS AI/ML services
ML lifecycle basics

Module 2 - Fundamentals of Generative AI

Key Topics

What is Generative AI
Large Language Models (LLMs)
Foundation models
Transformer architecture basics
Prompt engineering
Tokenization concepts
Model parameters and temperature

AWS GenAI Services

Amazon Bedrock
Amazon Q
Generative AI applications

Module 3 - Applications of Foundation Models

This is the largest domain in the exam.

Topics

Use cases of foundation models
Text generation
Chatbots and assistants
Content generation
Code generation
Document summarization
Retrieval-Augmented Generation (RAG)
Vector databases
Prompt engineering techniques:
- Zero-shot prompting
- Few-shot prompting
- Chain-of-thought prompting