About the Course

The AWS Certified AI Practitioner (AIF-C01) training program is a foundational-level course designed to help learners understand core Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) concepts with a focus on AWS services and real-world business applications.

This course prepares participants to confidently identify AI use cases, understand foundation models, apply prompt engineering techniques, and work with AWS AI services such as Amazon Bedrock and Amazon SageMaker.

Aligned with the official AWS exam guide, this program emphasizes business-focused AI understanding rather than coding or model development.

Who Should Attend

• Beginners exploring AI and Cloud careers
• Business analysts and decision-makers
• IT professionals transitioning to AI roles
• Project managers and product owners
• Students and career switchers
• Non-technical professionals working with AI solutions

Course Modules (Aligned to AIF-C01 Exam Domains)

Module 1: Fundamentals of AI and Machine Learning (20%)

Topics:

• What is AI, ML, Deep Learning
• Types of AI (Narrow vs General)
• Supervised, Unsupervised, Reinforcement Learning
• AI Terminologies (model, training, inference, bias, fairness)
• Data types (structured vs unstructured)
• Real-world AI use cases

Lab:

• Exploring AWS AI services overview
• Demo: AI use case mapping

Module 2: Fundamentals of Generative AI (24%)

Topics:

• What is Generative AI
• Tokens, embeddings, vectors
• Large Language Models (LLMs)
• Multimodal AI
• GenAI use cases (chatbots, content generation, code generation)
• Advantages & limitations (hallucinations, bias)

Lab:

• Intro to Amazon Bedrock
• GenAI demo (text/image generation)

Module 3: Applications of Foundation Models (28%)

Topics:

• What are Foundation Models (FMs)
• Prompt Engineering:
• Zero-shot, Few-shot
• Chain-of-thought prompting
• RAG (Retrieval Augmented Generation)
• Fine-tuning vs Prompting
• Model evaluation metrics (BLEU, ROUGE, etc.)
• Agents and AI workflows

Lab:

• Prompt engineering hands-on
• Build simple GenAI workflow

Module 4: Responsible AI (14%)

Topics:

• Bias, fairness, inclusivity
• AI risks (hallucination, misuse)
• Transparency & explainability
• Ethical AI design
• AWS Guardrails

Lab:

• Bias detection demo
• Responsible AI case study

Module 5: Security, Compliance & Governance (14%)

Topics:

• AWS Shared Responsibility Model
• IAM for AI systems
• Data privacy & encryption
• Governance frameworks
• Compliance (data handling, regulations)

Lab:

• IAM policy demo
• Secure AI workflow design

Key AWS Services Covered

• Amazon Bedrock
• Amazon SageMaker
• Amazon Comprehend
• Amazon Rekognition
• Amazon Lex
• Amazon Polly
• Amazon Transcribe
• Amazon Translate
• AWS IAM
• Amazon S3

Certification Exam Details

• Exam Code: AIF-C01
• Questions: ~65 (50 scored + 15 unscored)
• Duration: ~90 minutes
• Format: MCQ, Multiple Response, Matching, Ordering
• Passing Score: 700 / 1000
• Level: Foundational

Course Objectives

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

• Understand core AI, ML, and GenAI concepts
• Identify real-world AI business use cases
• Understand foundation models and prompt engineering
• Work with AWS AI/ML services (Bedrock, SageMaker, etc.)
• Evaluate AI model performance and business impact
• Apply Responsible AI principles
• Understand AI security, compliance, and governance

Course Duration

• Total Duration: 24 Hours
• Delivery Mode: Instructor-led (Online / Classroom / Hybrid)
• Lab Access: AWS Hands-on Labs (Optional but Recommended)

Prerequisites

• Basic computer knowledge
• General understanding of cloud computing (helpful but not mandatory)
• No programming or AI background required

Career Opportunities

• AI Business Analyst
• AI Product Coordinator
• Cloud AI Associate
• AI Solutions Consultant (Entry-Level)
• AWS AI/ML Practitioner
• GenAI Specialist (Functional Roles)

Job Market & Salary Insights (USA)

Role Avg Salary

AI Analyst $85,000 – $115,000

Cloud AI Associate $95,000 – $130,000

AI Product Analyst $100,000 – $140,000

GenAI Specialist $110,000 – $150,000

AI roles are among the fastest-growing job categories (BLS + industry reports 2025–2030)