Udemy

AWS Certified AI Practitioner AIF-C01 [Beginner to Advanced]

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  • 3,845 名學生
  • 更新於 12/2025
4.4
(510 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
10 小時 48 分鐘
教學語言
英語
授課導師
Rahul Trisal
評分
4.4
(510 個評分)
1次瀏覽

課程簡介

AWS Certified AI Practitioner AIF-C01 [Beginner to Advanced]

Pass the AWS AI Practitioner Exam | Quizzes | Practice Test | HandsOn | GenAI | Amazon Bedrock | Amazon Q | AI-ML Basics

  • Welcome to the most comprehensive course on AWS Certified AI Practitioner AIF-C01 from a practicing AWS GenAI Architect with real world experience in building Enterprise Generative AI Applications.

  • In this course, we will go beyond passing the certification course and focus on understanding all the AWS AI and GenAI services in detail with business use cases, detailed architecture, hands-on demo and quizzes and practice tests.

  • This course has been structured in a way that starts from absolute basics on AI, ML, Generative AI and gradually builds on to show you how to build enterprise grade applications.

  • This course will help you :

    • Pass the AWS Certified AI Practitioner AIF-C01

    • Explain each topic in detail with business scenario, architecture, hands-on demo & enterperise implement.

    • Hands-On Demos of following services - Amazon Q Business, Q Developer, Amazon Bedrock, Bedrock Agents, Bedrock Knowledge Bases, Vectors and Embeddings, Responsible AI Services, Security Services and many more

    • 40+ Quiz Questions at end of each section to test the learning of key concepts with detailed explanations

    • 2 Mini Practice Test very similar in complexity level to actual exam with in-depth explanations

    • Video explanation of sample questions

    • 250+ pdf Slides on various course topics

Instructor :

My name is Rahul Trisal and I am one the best selling instructors on AWS in Udemy with multiple courses on GenerativeAI, AWS Lambda, AWS CDK and AWS Cloudformation.

I am a practicing GenAI Solution Architect and my recent Udemy Course on Generative AI and Amazon Bedrock has almost 25000+ students, 5000+ Reviews and 5 Million viewing mins.


  • Here is a detailed list of topics covered as part of course :

    • Domain 1 : Fundamentals of AI and ML

    • Domain 2: Fundamentals of Generative AI

    • Domain 3: Applications of Foundation Models

    • Domain 4: Guidelines for Responsible AI

    • Domain 5: Security, Compliance, and Governance for AI Solutions


  • No prior AI-ML or Generative Experience or coding experience required

  • Try out the course and I promise you will not be disappointed.

  • Comes with A 30 Day "No questions Asked" Money Back Guarantee! from Udemy,  if you donot like the course

This course also comes with:

  • 11+ hours of video training

  • Detailed explanation of each topic including business scenarios, solution architecture, hands-on demos

  • Hands-On Demos of following services - Amazon Q Business, Q Developer, Amazon Bedrock, Bedrock Agents, Bedrock Knowledge Bases, Vectors and Embeddings, Responsible AI Services, Security Services and many more

  • 40+ detailed Quiz questions to test your concepts

  • 2 Mini Practice Test with detailed explanations with same level of complexity as actual exam

  • Video explanation of practice test

  • Udemy Certificate of Completion

  • A 30 Day "No Questions Asked" Money Back Guarantee!

  • Lifetime access to all future updates


IMPORTANT  << Learning Path:  GenAI Developer / Architect on AWS  >>

Many learners ask how to switch their career to an AWS Generative AI Developer or Architect and which sequence of my Udemy courses they should follow. Here is some guidance based on my experience working in the IT industry.

My GenAI/Agentic AI courses are divided into two tracks

  • Hands-On learning to build real world skills required in the IT industry (Most important)

  • Certification preparation to help you pass the certification exam (Good to have)

<< Hands-On Courses >>

1. Hands-On Course 1  (Beginner) - Amazon Bedrock, Amazon Q & AWS Generative AI [Hands-On]

Start here if you’re new to GenAI & Amazon Bedrock.

2. Hands-On Course 2 (Intermediate) - Build Production Ready AI Agents on AWS – Bedrock, CrewAI & MCP

Take this after Course 1 - Focused on Agentic AI but will be easier to understand if you have taken Course 1

3. Hands-On Course 3 (Advanced) - Amazon Bedrock AgentCore : Deploy AI Agents on AWS

This is the advanced course and focused on how to deploy, scale, and operate AI agents in Production.

Recommend to take after Course 1 & Course 2.

<< AWS GenAI Certification Path >>

1. Certification Course 1 : AWS Certified AI Practitioner (AIF-C01) – Beginner to Advanced

· Take after Step 1, or

· In parallel with Step 2

Outcome
You pass AWS Certified AI Practitioner (AIF-C01) and understand GenAI concepts AWS expects.

2. Certification Course 2 : AWS Certified Generative AI Developer Professional (Coming Soon)

課程章節

  • 10 個章節
  • 87 堂課
  • 第 1 章 Introduction
  • 第 2 章 Domain 1 : Fundamentals of AI and ML (Part 1)
  • 第 3 章 Domain 2: Fundamentals of Generative AI
  • 第 4 章 Domain 2: Amazon Bedrock, Amazon Q, SageMaker Jumpstart, PartyRock & Inferentia
  • 第 5 章 Domain 3 : Applications of Foundation Models - Bedrock Knowledge Bases & Agents
  • 第 6 章 Domain 3 : Prompt Eng, Foundation Model Selection, Model Evaluation, Fine Tuning
  • 第 7 章 Domain 1 : Fundamentals of AI and ML (Continued from Section 2)
  • 第 8 章 Domain 4: Guidelines for Responsible AI
  • 第 9 章 Domain 5 : Security, Compliance, and Governance for AI Solutions
  • 第 10 章 Practice Test

課程內容

  • Pass the AWS Certified AI Practitioner AIF-C01 exam.
  • Detailed explanation, architecture and use case scenarios of 30+ AWS Services.
  • Hands-On Demos : Amazon Q Business, Q Developer, Amazon Bedrock, Bedrock Agents, Bedrock Knowledge Bases, Vectors and Embeddings, Responsible AI and many more
  • 40+ Quiz Questions at end of each section to test the learning of key concepts with detailed explanations
  • 2 Mini Practice test very similar in complexity level to actual exam with in-depth explanations
  • Video explanation of sample questions and approach to answering questions
  • 320+ Slides on various course topics
  • Application of GenAI - Bedrock Knowledge Bases, Agents and Guard Rails, Amazon SageMaker
  • Learn about GenAI Application Lifecycle - Use Case Identification, Prompt Engineering, Foundation Model Selection, Fine Tuning
  • Learn about basics of Generative AI - Prompt, Inference, Completion, RAG, LLM's, Parameters, Tokens, Vectors, Embeddings and much more
  • Responsible AI
  • Basics of AI-ML - Neural Networks, CNN, NLP, Computer Vision
  • AWS AI-ML Services - Amazon Rekognition, Amazon Polly, Amazon Lex, Amazon Transcribe, Amazon Translate
  • This a Game Changer course which will not help you pass the exam but help you understand the Real World implementation scenarios for GenAI
  • Try out the course and I promise you will not be disappointed. Comes with A 30 Day "No questions Asked" Money Back Guarantee! if you donot like the course


評價

  • R
    Rohan Patil
    4.0

    The teaching style is good. I studied from the course, appeared for practice tests and passed the AWS Certified AI Practitioner Exam. Thank you.

  • A
    Abhishek
    4.5

    I am about to work on genai, hope it helps me.

  • M
    Michael Beaven
    4.0

    Clear explanation and good examples

  • A
    Atul Sachan
    5.0

    Till session is quite explanatory, well demonstrated in very easy language.

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