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AWS Certified AI Practitioner (AIF– C01)– Full Course & Tests

Name: AWS Certified AI Practitioner (AIF– C01)– Full Course &amp; Tests
Author: Baturi

AWS Certified AI Practitioner (AIF– C01)– Full Course & Tests

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With AWS Certified AI Practitioner (AIF– C01)– Full Course & Tests, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
Created by Chetan Agrawal | Ex. Senior Solutions Architect at AWS
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 216 Lectures ( 12h 43m ) | Size: 4.8 GB

By Architect @ AWS | 100% Exam Coverage | 30+ Demos | 150+ Section Quiz | 2 Full Practice Tests & Exam Revision Guide

What you'll learn

⚡ Prepare confidently for the AWS Certified AI Practitioner (AIF-C01) certification exam.
⚡ Understand the fundamentals of AI, Machine learning, and Generative AI.
⚡ Understand Foundation models, Promp engineering, RAG, Model customization, Model evaluation and AI agents.
⚡ Learn and experience AWS Services used for AI, ML and Generative AI
⚡ Understand Responsible AI, AI Security, Compliance, and Governance considerations.

Requirements

❗ No prior AI or machine learning experience is required.

Description

I believe thata strong technical foundation is the key to a successful career, and the foundation must be built right. This course primarily focuses on getting you AWS AI Practitioner certified but the concepts that you will learn will stay with you and guide you for the rest of your career. I have tried to strike right balance between what exam requires you to know and what's important for your career.
So try to get the most out of this course. All the best!
~Chetan
About this course
✨ This course provides you everything to pass your AWS Certified AI Practitioner - Foundational Exam (AIF-C01)
✨ This course contains 12hrs of detailed lectures including 30+ demonstrations and walkthroughs to make sure that you understand the concepts to its core. Also, this is a COMPLETE course which means I won't ask you to go through any other videos, white-papers or documentation.
✨ No prior IT or Cloud or AI experience required.This course can be taken by absolute beginners including students.
✨ Only thing required to complete this course and pass your exam is -Your sincere efforts and dedication.
Course topics
✨Domain 1 - Fundamentals of AI and Machine Learning
✨ AI, ML, Deep Learning and Generative AI
✨ How Machines learn?
✨ Machine Learning Lifecycle - Business Problem -> ML Problem Framing -> Data Collection -> Data Preparation -> Model Training -> Model Evaluation -> Model Inference and Model Optimization
✨ AWS AI Services - Rekognition, Polly, Transcribe, Translate, Textract, Comprehend, Personalize, Forecast, Kendra, Lex
✨ Amazon SageMaker AI
✨ Data Wrangler, Ground Truth & Feature Store, SageMaker Studio, Canvas & JumpStart
✨ SageMaker Training Jobs
✨ SageMaker Endpoints - Real-time, Batch Transform, Asynchronous, Serverless
✨ SageMaker Clarify, SageMaker Model Monitor, Model Cards and Model Registry
✨ SageMaker Pipelines, Mlflow and SageMaker Autopilot (MLOps)
✨Domain 2 - Fundamentals of Generative AI
✨ Foundation Models (FMs) and Large Language Models (LLMs)
✨ Transformer Architecture
✨ Prompt Engineering
✨ Vector Embedding and Retrieval Augmented Generation (RAG)
✨Domain 3 - Applications of Foundation Models
✨ Amazon Bedrock
✨ Foundation Model (FM) catalog in Bedrock
✨ Bedrock Guardrails
✨ Bedrock Monitoring and Logging
✨ Bedrock Pricing (old and new)
✨ Prompt Engineering and RAG in Amazon Bedrock
✨ Prompt Engineering & components of a Prompt
✨ Prompt Techniques - Zero shot, Few shots, Chain-of-thought, ReAct & Negative prompting
✨ Model response optimization parameters - Temperature, Top-K, Top-P, Stop sequence
✨ Prompt templates
✨ Prompt attacks
✨ Amazon Bedrock Knowledge Bases (RAG)
✨ Amazon Bedrock Vector Databases - Amazon OpenSearch, Amazon Aurora, Amazon Neptune, S3 Vectors
✨ Customizing Foundation Models
✨ Transfer Learning, Model Fine-tuning & Model Continued-Pretraining
✨ Amazon SageMaker Jumpstart
✨ Model Distillation (Teacher -> Student models)
✨ Small Language Models (SLMs) and Edge deployment
✨ Foundation Model Evaluation
✨ Business Metrics - User/Customer satisfaction, Avg response time, Conversion rate etc.
✨ Technical Metrics - Accuracy, Robustness, Toxicity, Fairness, BLEU, ROUGE, BERTScore and more
✨ FM Evaluation Methods - Automated Evaluation, LLM-as-Judge, Human-based review
✨ BLEU Score, ROUGE & BERTScore
✨ AI Agents
✨ Why AI Agents?
✨ Demo - Banking Assistant Chatbot vs AI Agent
✨ AI Agent Frameworks - LangGraph, LangChain, CrewAI, Strands, AutoGen etc.
✨ Amazon Bedrock Agent (Classic)
✨ Amazon Bedrock AgentCore (New)
✨ AgentCore components - Runtime, Harness, Gateway, Memory, Identity, Browser and more.
✨ Agent Communication - MCP (Model Context Protocol) and A2A (Agent-to-Agent)
✨ AWS Generative AI Application Services
✨ Amazon Q - Amazon Q Developer, Q in Console, Q in Connect
✨ Amazon Quick Suite (Formerly Amazon QuickSight + Amazon Q Business)
✨ Amazon Quick Modules - Chat/Agents, Index, Research, Flows, Automate, Apps etc.
✨ AWS DevOps Agent, AWS Security Agent, AWS Kiro Agent (Coding assistant)
✨ AWS Party Rock
✨Domain 4 - Guidelines for Responsible AI
✨ What is Responsible AI and why its important?
✨ Responsible AI Features and Dimensions - Fairness, Explainability, Transparency and more
✨ Common Risks and challenges of AI - Bias, Variance, Hallucination, Toxicity, Plagiarism, Nondeterminism & more
✨ AI Model Interpretability vs Complexity Trade-offs
✨ AWS Services and Tools for Responsible AI
✨ AI Service Cards
✨ Amazon Bedrock Guardrails
✨ Amazon SageMaker Clarify
✨ Amazon Augmented AI (A2I)
✨ Responsible AI Best Practices
✨Domain 5 - Security, Compliance, and Governance for AI Solutions
✨ AWS Services/Features for AI Security
✨ Access and Permissions - AWS IAM
✨ Network Security - AWS VPC, PrivateLink
✨ Data Security - Amazon S3 Bucket Policy, Amazon KMS, Amazon Macie
✨ AI Agent Security - AgentCore Identity, AgentCore Policy, AWS IAM
✨ AWS Services/Features for AI Governance and Compliance
✨ AWS Config
✨ AWS CloudTrail
✨ Amazon Inspector
✨ AWS Trusted Advisor
✨ AWS Artifact
✨ AWS Audit Manager
✨ AI Service Cards and SageMaker Model Cards
✨Additional Topics
✨ Secure Data Engineering
✨ AI response Grounding Techniques
✨ AWS Generative AI Scoping Matrix
+ Section Quizzes (~150 questions)
Practice Tests
✨ Full Practice Test 1 - Exam level (65 questions)
✨ Full Practice Test 2 - Challenging level (65 questions)
s
✨ Full course slides
✨ Exam Essentials guide
✨ Exam Cheat Sheet
This course also comes with
✨ Lifetime access to all future updates
✨ A responsive instructor in the Q&A Section
✨ Udemy Certificate of Completion Ready for
✨ A 30-Day "No Questions Asked" Money Back Guarantee!

Who this course is for

⭐ Anyone preparing for the AWS Certified AI Practitioner (AIF-C01) exam.
⭐ Students and Cloud Beginners looking to start their journey into AI and cloud technologies.
⭐ Business and Product Professionals who want to understand AI/GenAI concepts, capabilities, use cases, and risks.
⭐ AWS and Cloud Professionals who want to build foundational AI/ML and Generative AI knowledge.

Homepage

https://www.udemy.com/course/aws-certified-ai-practitioner-full-course-tests

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