AWS Certified AI Practitioner - Concepts, Demos, Questions

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Amit Arora

3:11:42

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1 - Exam Details

1 -Introduction.mp4

03:41

2 -Course Content.mp4

04:58

2 - Diagnostics Test

3 - AI & ML Fundamentals

1 -Introduction.mp4

00:48

2 -AI-Terminology.mp4

04:13

3 -ML Fundamentals.mp4

03:02

4 -Inferencing.mp4

00:50

5 -Deep Learning, Gen-AI Fundamentals.mp4

02:51

6 -Amazon AI Services.mp4

04:38

4 - AI Use Cases and Applications

1 -Introduction.mp4

00:56

2 -AI Use Cases.mp4

03:16

3 -ML Use Cases.mp4

02:00

4 -Gen AI - Capabilities and Limitations.mp4

01:54

5 - Developing ML & Gen-AI Solutions

1 -Introduction.mp4

01:36

2 -ML Lifecycle.mp4

02:54

3 -Amazon SageMaker.mp4

03:39

4 -SageMaker Models.mp4

01:22

5 -Model Performance Evaluation.mp4

02:59

6 -MLOps.mp4

01:58

7 -Gen-AI Solution.mp4

04:02

8 -Gen-AI Evaluation and Deployment.mp4

02:58

6 - Amazon Bedrock

1 -Amazon Bedrock.mp4

03:43

2 -Amazon-Bedrock-Demo.mp4

06:55

3 -Bedrock-Guardrails.mp4

04:26

4 -Bedrock-Evaluation.mp4

04:51

7 - Prompt Engineering

1 -Introduction.mp4

01:05

2 -What is Prompt.mp4

01:00

3 -Prompt building blocks.mp4

01:57

4 -Negative Prompting.mp4

02:39

5 -Prompt best practices and risk.mp4

02:41

6 -Prompt Engineering Techniques.mp4

04:10

8 - Responsible AI Practices

1 -Introduction.mp4

01:21

2 -What is Responsible AI.mp4

03:45

3 -Gen-AI Challenges.mp4

01:54

4 -Dimensions of AI.mp4

02:14

5 -Benefits of Responsible AI.mp4

02:25

6 -Amazon Services for Responsible AI.mp4

01:39

7 -Safeguards-Bias.mp4

01:38

8 -Transparency and Governance.mp4

04:01

9 - Optimizing FMs

1 -Introduction.mp4

01:17

2 -Vector Embeddings.mp4

03:10

3 -Gen-AI Agents.mp4

01:30

4 -Evaluate Gen-AI Results.mp4

01:38

5 -Fine Tuning.mp4

03:15

6 -Model Evaluation.mp4

01:42

10 - AI Security, Compliance and Governance

1 -Introduction.mp4

02:07

2 -AWS Services.mp4

02:46

3 -Governance.mp4

02:42

4 -Data and Model Lineage.mp4

01:21

11 - Amazon Q

1 -Amazon Q.mp4

03:48

2 -Amazon Q - Demo.mp4

03:49

12 - Amazon AI Services Details and Demo

1 -Amazon Textract.mp4

02:23

2 -Amazon Textract - Demo.mp4

05:02

3 -Amazon Translate.mp4

02:09

4 -Amazon-Translate-Demo.mp4

06:59

5 -Amazon Augmented AI.mp4

01:52

6 -Amazon Augmented AI - Demo.mp4

04:45

7 -Amazon Comprehend.mp4

03:14

8 -Amazon Comprehend - Demo.mp4

04:52

9 -Amazon Comprehend Medical.mp4

00:56

10 -Amazon Comprehend Medical - Demo.mp4

02:39

11 -Amazon Transcribe.mp4

01:16

12 -Amazon Transcribe - Demo.mp4

05:15

13 -Amazon Transcribe Medical - Demo.mp4

00:44

14 -AWS Services Recap.mp4

04:40

15 -AWS Services Recap (cont..).mp4

02:13

16 -AWS Services Recap (cont..).mp4

03:09

17 -AWS Services Recap (cont..).mp4

03:30

13 - Practice Exam

Description

Excel AWS Certified AI Practitioner exam | Prep Course with Concepts, Demos, Quiz |Practice Exam Included

What You'll Learn?

Exam details for AWS Certified AI Practitioner Certification AIF-C01, tips and tricks to ace the exam.
Learn Artificial Intelligence, Generative AI, and Machine Learning fundamentals
Use cases for AI, Generative AI (GenAI) and Machine Learning
Learn the key AWS AI services, including a deep dive on Bedrock, Amazon Q and SageMaker
Learn about Foundation Models and how to optimize them
Responsible AI
Learn Prompt Engineering
Practice Questions for the exam

Who is this for?

Anyone seeking certification in artificial intelligence and machine learning technologies on Amazon Web Services.

Anyone wanting to start with learning AI and acquire the knowledge in this subject area.

What You Need to Know?

No AWS Cloud experience is necessary, though basic familiarity with AWS services may help.

No AI pre-requisites is necessary

More details

Description
Welcome to the ultimate course for the AWS Certified AI Practitioner (AIF-C01) certification. This course isÂ designed to help you ace the exam content and achieve your certification goals with confidence.

The AWS Certified AI Practitioner (AIF-C01 / AI1-C01) exam isn't just for developers - it's aimed at a wide variety of roles in the technology space. Whether you're a PM, manager, sales or marketing professional, or developer - the concepts behind artificial intelligence, GenAI, and machine learning (ML) aren't as hard as you think. This course starts with the basics, explaining things in plain English and with simple examples. No coding required!

You'll be fully prepared for the exam with an included 100 practice questions in Quiz, diagnostic test and practice quiz.

Key Features of this course:
1. Every topic you need to master the AIF-C01 exam is covered in depth (based on all the latest information).
2. ContentÂ is created based on official AWSÂ exam guide and it is packed by practical knowledge on how to use AWS AI services inside and out.
3. Learn in hands-on labs how to use all the relevant AWS AI services like Bedrock, and Comprehend and many more.
4. Challenge and test your knowledge with lots of quizzes through out all the sections to be sure of your knowledge.

Some topics we'll cover include:
Fundamental concepts and terminologies of AI, ML, and Generative AI
Use cases of AI, ML, and GenAI
Evaluating and measuring AI models
Machine learning design principles
Prompt engineering
Amazon Bedrock
Amazon Q
Hands-on on Transcribe, translate, A2I, and many more services
High-level AWS AI and machine learning services
Responsible AI

Who this course is for:
Anyone seeking certification in artificial intelligence and machine learning technologies on Amazon Web Services.
Anyone wanting to start with learning AI and acquire the knowledge in this subject area.

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Artificial Intelligence

Amit Arora

Instructor's Courses

Over 16 years of IT experience. Worked in all phases of software development life cycle in multiple domains. Proven track record as Udemy Instructor, 1400+ students enrolled in database courses. I am regular blogger for various sites and written Oracle/ SQL related articles along with certification tests for Oracle, PMP and more. Certifications & Training: -- AWS Certified Solution Architect Associate -- CFA Foundation Certificate -- Oracle Certified Professional -- MongoDB for Developer -- SQL Server Internals (SQLSkills - Paul Randal) -- Data Modelling / Design (Themis Inc.)

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