Complete AWS Certified AI Practitioner – AIF-C01 [NEW]

Complete AWS Certified AI Practitioner – AIF-C01 [NEW], available at $44.99, has an average rating of 4.81, with 108 lectures, 16 quizzes, based on 21 reviews, and has 630 subscribers.

You will learn about PASS the AWS Certified AI Practitioner Exam (AIF-C01) Full Practice Exam with complete explanations to ACE the exam All Slides available as downloadable PDFs 100% up-to-date with the latest content Hands-on demos with real-world scenarios Practical & Hands-on Develop & Deploy AI Solutions using AWS services like SageMaker and Bedrock All relevant AI services in AWS are covered in hands-on demos This course is ideal for individuals who are Aspiring AI Practitioners: Those looking to get certified and kickstart their AI careers or Business Analysts, IT Support, and Marketing Professionals or Professionals seeking to expand their knowledge of AI/ML on AWS It is particularly useful for Aspiring AI Practitioners: Those looking to get certified and kickstart their AI careers or Business Analysts, IT Support, and Marketing Professionals or Professionals seeking to expand their knowledge of AI/ML on AWS.

Enroll now: Complete AWS Certified AI Practitioner – AIF-C01 [NEW]

Summary

Title: Complete AWS Certified AI Practitioner – AIF-C01 [NEW]

Price: $44.99

Average Rating: 4.81

Number of Lectures: 108

Number of Quizzes: 16

Number of Published Lectures: 108

Number of Published Quizzes: 16

Number of Curriculum Items: 124

Number of Published Curriculum Objects: 124

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

PASS the AWS Certified AI Practitioner Exam (AIF-C01)
Full Practice Exam with complete explanations to ACE the exam
All Slides available as downloadable PDFs
100% up-to-date with the latest content
Hands-on demos with real-world scenarios
Practical & Hands-on
Develop & Deploy AI Solutions using AWS services like SageMaker and Bedrock
All relevant AI services in AWS are covered in hands-on demos

Who Should Attend

Aspiring AI Practitioners: Those looking to get certified and kickstart their AI careers
Business Analysts, IT Support, and Marketing Professionals
Professionals seeking to expand their knowledge of AI/ML on AWS

Target Audiences

Aspiring AI Practitioners: Those looking to get certified and kickstart their AI careers
Business Analysts, IT Support, and Marketing Professionals
Professionals seeking to expand their knowledge of AI/ML on AWS

This course will prepare you to PASS the new AWS Certified AI Practitioner (AIF-C01) certification exam!

No previous experience with AWS or AI is needed—this course is beginner-friendly!

This can be the big next step in your career with the AWS Certified AI Practitioner certification.

Whether you’re new to AI or looking to expand your AWS expertise, this course offers everything you need—practical labs, a full practice exam, and up-to-date content that covers every aspect of AI, ML, and Generative AI on AWS.

Why is this the ONLY course you need to pass the AWS Certified AI Practitioner exam?

Comprehensive Coverage: Every topic you need to master the AIF-C01 exam is covered in depth (based on all the latest information).
100% Up-to-Date: Content is continuously updated to reflect the latest exam changes and AWS services.
Hands-on & Practical: Learn in hands-on labs how to use all the relevant AWS AI services like SageMaker, Bedrock, and Comprehend and many more.
Quizzes: Challenge and test your knowledge with lots of quizzes through out all the sections to be sure of your knowledge.
Full Practice Exam: Test your readiness with a comprehensive practice exam, complete with detailed explanations for every question.
Expert Tips: Learn the best strategies to approach the exam, manage your time, and avoid common pitfalls.

This course doesn’t just prepare you for the exam—it equips you with the practical knowledge to use AI and ML in real-worldAWS environments. You’ll walk away with the skills and confidence needed to excel in your career.

In short, this course teaches you every single topic you need to master the exam with ease.

What You’ll Learn:

Pass the AIF-C01 Exam: The only course you need to become an AWS Certified AI Practitioner.
Master AI & ML on AWS: Learn how to use key AWS AI services to build and deploy AI solutions.
Hands-on Projects: Apply what you learn in practical labs, covering everything from model training to deploying AI systems.
In-Depth Understanding: Get a thorough grounding in AI/ML fundamentals, generative AI, prompt engineering, and responsible AI practices.
Exam Strategies: Gain insights and tips to tackle the exam confidently and efficiently.

Enroll Now and Get:

Lifetime Access including all future updates
Several hours of video content
All slides & projectfiles as downloadable resources
Full practice examwith explanations
30-day money-back guaranteewith no-questions-asked

Your instructor:

Hi, my name is Nikolai. I am teaching AWS, Data Engineering and Data Science in 200 countries and my mission with the course: Take the stress out of your exam prep, make it fun but very effective to make the most out of your preparation time. I want to make sure you have the best chances of succeeding and moving your career forward with the AWS AI Practitioner exam in your professional career.

Take this step today, and start your journey to becoming an AWS Certified AI Practitioner.

Looking forward to seeing you inside the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome!

Lecture 2: About the exam & this course

Lecture 3: Important tips for this course

Lecture 4: All Slides

Lecture 5: AWS Free Trial Signup

Lecture 6: Cost & AWS Budget

Lecture 7: Generative AI & ML – Fundamentals

Chapter 2: Amazon Q Business

Lecture 1: What is Amazon Q Business

Lecture 2: Hands-on: Create Amazon Q Business Application

Lecture 3: Hands-on: Assign Users & Test Application

Lecture 4: Hands-on: Using Global Controls

Lecture 5: Hands-on: Blocking Words

Lecture 6: Hands-on: Topic Controls

Chapter 3: Language AI Services

Lecture 1: Amazon Transcribe

Lecture 2: Hands-on: Amazon Transcribe

Lecture 3: Amazon Polly

Lecture 4: Hands-on: Pricing & Models (Amazon Polly)

Lecture 5: Hands-on: Text-to-Speech (Amazon Polly)

Lecture 6: Hands-on: SSML to modify speech output (Amazon Polly)

Lecture 7: Hands-on: Real-time translation (Amazon Translate)

Lecture 8: Hands-on: Batch job translation (Amazon Translate)

Chapter 4: Generative AI: Selection and Metrics

Lecture 1: Diffusion Models

Lecture 2: Large Language Models

Lecture 3: GANs & VAEs

Lecture 4: Generative AI Capabilities

Lecture 5: Generative AI Challenges

Lecture 6: Selecting Generative AI Model

Lecture 7: Business Metrics

Lecture 8: Generative AI Lifecycle

Chapter 5: Amazon Bedrock

Lecture 1: What is Amazon Bedrock?

Lecture 2: Amazon Bedrock – Architecture

Lecture 3: Amazon Bedrock – Use Cases

Lecture 4: Hands-on: Exploring Amazon Bedrock

Lecture 5: Hands-on: Installing Visual Studio Code

Lecture 6: Hands-on: Setting up Visual Studio Code

Lecture 7: Hands-on: Invoking Amazon Titan Model

Lecture 8: Hands-on: Image Generation in Bedrock

Chapter 6: Improving Foundation Models

Lecture 1: Why Improving Foundation Models?

Lecture 2: Retrieval-Augmented Generation (RAG)

Lecture 3: Hands-on: Knowledge Base in Bedrock

Lecture 4: Agents

Lecture 5: Hands-on: Prepare & Test Agent

Lecture 6: Hands-on: Create Agent Action Group

Lecture 7: Hands-on: Creating Guardrails

Lecture 8: Hands-on: Setting up Agent

Lecture 9: Hands-on: Testing Guardrails

Lecture 10: Hands-on: Cleaning up resources

Chapter 7: Prompt Engineering

Lecture 1: Essentials of Prompt Engineering

Lecture 2: Optimizing Inference Parameters

Lecture 3: Prompting Best Practices

Lecture 4: Prompt Engineering Techniques

Lecture 5: Prompt Misuses and Risks

Chapter 8: Amazon Comprehend

Lecture 1: Amazon Comprehend

Lecture 2: Hands-on: Amazon Comprehend

Lecture 3: Hands-on: Amazon Comprehend Medical

Chapter 9: Augmented Analysis

Lecture 1: Amazon Textract

Lecture 2: Hands-on: Amazon Textract

Chapter 10: Computer Vision

Lecture 1: Amazon Rekognition

Lecture 2: Hands-on: Amazon Rekognition

Lecture 3: Hands-on: Using Rekognition in Lambda Function

Chapter 11: Customer Experience

Lecture 1: Amazon Kendra

Lecture 2: Hands-on: Create an Index & Sync (Amazon Kendra)

Lecture 3: Hands-on: Create Experience (Amazon Kendra)

Lecture 4: Amazon Personalize

Lecture 5: Hands-on: Dataset Group (Amazon Personalize)

Lecture 6: Hands-on: Training Dataset (Amazon Personalize)

Lecture 7: Hands-on: Train Model (Amazon Personalize)

Lecture 8: Hands-on: Make Predictions (Amazon Personalize)

Chapter 12: Developing Machine Learning Solutions

Lecture 1: Machine Learning Development Lifecycle

Lecture 2: SageMaker: Data Collection & Feature Engineering

Lecture 3: SageMaker: Model Training

Lecture 4: SageMaker Studio Environment

Lecture 5: SageMaker: Model Options

Lecture 6: Model Evaluation Concepts

Instructors

Nikolai Schuler
Building Better Data Careers

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4 stars: 5 votes
5 stars: 16 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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