Mastering AWS Certified AI Practitioner AIF-C01 - Hands On!

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Sundog Education by Frank Kane,Frank Kane

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1. Introduction

1. Introduction.mp4

01:18

2. Udemy 101.mp4

02:10

3. Get Your Copy of the Slides.html

2. AI and Machine Learning Fundamentals

1. Taxonomy of Artificial Intelligence and Machine Learning Techniques.mp4

09:39

2. Supervised Learning Techniques.mp4

05:12

3. Evaluating Supervised Machine Learning with TrainTest and Cross Validation.mp4

06:26

4. Unsupervised and Self-Supervised Learning; Reinforcement Learning.mp4

07:37

5. The Bias Variance Tradeoff.mp4

06:37

6. A Taxonomy of Machine Learning Techniques.mp4

02:20

7. Intro to Natural Language Processing (NLP).mp4

03:41

8. History of Deep Learning; How Neural Networks Work.mp4

13:40

9. Convolutional Neural Networks (CNNs).mp4

05:25

10. Recurrent Neural Networks (RNNs).mp4

08:04

11. The Transformer Architecture and Self-Attention How Generative AI Works.mp4

08:55

12. Generative Adversarial Networks (GANs).mp4

05:37

13. Diffusion Models.mp4

02:14

14. Quiz AI and ML Fundamentals.html

3. Machine Learning Design Principles and Use Cases

1. Machine Learning Design Principles and Lifecycle.mp4

07:23

2. Business Goal Identification.mp4

06:27

3. Framing the Machine Learning Problem.mp4

13:20

4. Data Processing.mp4

11:00

5. Model Development, Training, and Tuning.mp4

15:48

6. Deployment.mp4

06:00

7. Monitoring.mp4

06:08

8. The AWS Well-Architected Machine Learning (ML) Lens.mp4

01:04

9. Machine Learning Ops (MLOps).mp4

04:50

10. AI Use Cases.mp4

06:22

11. Computer Vision Use Cases.mp4

01:36

12. Generative AI Use Cases.mp4

06:42

13. Quiz ML Design Principles and Use Cases.html

4. Prompt Engineering

1. Benefits of Prompt Engineering.mp4

03:31

2. Anatomy of a Prompt.mp4

02:16

3. Prompt Best Practices.mp4

04:13

4. Types of Prompts.mp4

03:14

5. Avoiding Prompt Mis-Use and Mitigating Bias.mp4

08:39

6. Quiz Prompt Engineering.html

5. AI and Machine Learning with Amazon SageMaker

1. Overview of Amazon SageMaker.mp4

03:42

2. Data Processing, Training, and Deployment with SageMaker.mp4

05:34

3. SageMaker Studio, SageMaker Debugger, SageMaker Experiments.mp4

05:24

4. SageMaker Autopilot.mp4

05:51

5. SageMaker Model Monitor and SageMaker Clarify.mp4

04:44

6. SageMaker Deployment Safeguards (and other features).mp4

06:18

7. SageMaker Feature Store.mp4

03:17

8. SageMaker Lineage Tracking.mp4

03:31

9. SageMaker Data Wrangler.mp4

07:44

10. DEMO SageMaker Studio, SageMaker Canvas, SageMaker Data Wrangler.mp4

24:20

11. Linear Learner, XGBoost, Seq2Seq.mp4

04:30

12. DeepAR, BlazingText, Obj2Vec, Object Detection.mp4

05:25

13. Image Classification, Semantic Segmentation, Random Cut Forest, NTM, LDA.mp4

04:29

14. KNN, K-Means, PCA, Factorization Machines, IP Insights.mp4

05:29

15. DEMO Training and Inference with SageMaker and XGBoost.mp4

11:43

16. Quiz Amazon SageMaker.html

6. Generative AI with AWS

1. Generative AI with Foundation Models and SageMaker JumpStart.mp4

04:47

2. Introduction to Amazon Bedrock.mp4

05:13

3.1 cfas-bylaws-rev-9.docx

3. HANDS ON with the Bedrock Playground for Chat, Text, and Image Generation.mp4

11:48

4. Fine-Tuning Foundation Models with Bedrock.mp4

06:00

5.1 book.txt

5. Bedrock Knowledge Bases and Retrieval-Augmented Generation (RAG).mp4

19:57

6. HANDS ON with Bedrock Knowledge Bases.mp4

11:59

7. Bedrock Guardrails.mp4

02:54

8. HANDS ON with Bedrock Guardrails.mp4

06:05

9. LLM Agents and Bedrock Agents.mp4

06:46

10.1 weather.zip

10. HANDS ON with Bedrock Agents.mp4

19:22

11. More Bedrock Features.mp4

01:37

12. Amazon Q Developer (formerly CodeWhisperer).mp4

03:27

13. Amazon Q Business.mp4

03:38

14. Amazon Q Apps and Pricing.mp4

02:57

15. Quiz Generative AI with AWS.html

7. High-Level AWS AI Services

1. Amazon Comprehend.mp4

04:03

2. Amazon Translate.mp4

01:17

3. Amazon Transcribe.mp4

03:21

4. Amazon Polly.mp4

01:36

5. Amazon Rekognition.mp4

04:47

6. Amazon Forecast.mp4

01:17

7. Amazon Lex.mp4

02:25

8. Amazon Personalize.mp4

05:37

9. Additional AI and ML Services.mp4

05:14

10. Quiz High-Level AI Services.html

8. Training, Tuning, and Measuring your Models

1. Fine-Tuning Foundation Models.mp4

08:16

2. Reinforcement Learning from Human Feedback (RLHF).mp4

05:41

3. Preparing Data for Fine Tuning.mp4

02:01

4. Evaluation Techniques for Foundation Models.mp4

06:31

5. ROUGE, BLEU, and BERTscore metrics for LLMs.mp4

05:10

6. Choosing a Generative AI Evaluation Strategy.mp4

01:52

7. Machine Learning Model Evaluation Precision, Recall, F1, RMSE.mp4

06:42

8. ROC Curves, AUC, P-R Curves.mp4

02:36

9. Quiz Training, Tuning, and Measuring your Models.html

9. Responsible AI, AI Governance, and AI Security

1. Dimensions of Responsible AI, and AWS Tools for Responsible AI.mp4

05:03

2. Best Practices for Responsible AI.mp4

05:02

3. AI Governance and Service Cards.mp4

03:38

4. Responsible Model Selection; Responsible Agency.mp4

04:45

5. Responsible Dataset Preparation.mp4

03:12

6. Transparency of AI Models.mp4

07:27

7. AI and Human-Centered Design (HCD).mp4

03:47

8. Defense In Depth.mp4

07:18

9. Additional AI Security Services.mp4

01:59

10. Security in Data Engineering.mp4

04:52

11. AWS Shared Responsibility Model.mp4

01:44

12. AI Compliance Concerns.mp4

06:03

13. Data Governance.mp4

03:37

14. AWS AI Governance Services.mp4

03:05

15. The Generative AI Security Scoping Matrix.mp4

08:02

16. Quiz Responsible AI, Security, and Governance.html

10. Wrapping Up

1. What to Expect Exam Tips and Preparation.mp4

05:09

2. Bonus Lecture.html

Description

Includes practice test + exercises! AWS AIF-C01 Certification Prep Course. Bedrock, SageMaker, AI Fundamentals, and more

What You'll Learn?

What to Expect on the AWS Certified AI Practitioner AIF-C01 Exam
Artificial Intelligence, Generative AI, and Machine Learning fundamentals
Machine Learning design principles
Use cases for AI, Generative AI (GenAI) and Machine Learning
Building Machine Learning systems and MLOps with SageMaker
Building Generative AI systems with Amazon Bedrock
Amazon Q Business and Q Developer
Model training and fine-tuning techniques with AWS
Evaluating and measuring your machine learning models
Responsible AI, security, and governance

Who is this for?

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

The AIF-C01 exam is aimed at a wide variety of roles, including sales and marketing, project managers, product managers, managers, and more - it's not just for developers.

What You Need to Know?

You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees.

You should have some basic familiarity with AWS and AI, but no development or programming experience is assumed.

More details

Description
Get certified by Amazon for your knowledge of artificial intelligence and machine learning! It's hard to imagine a certification that would carry more weight in today's era of generative AI.
The AWSÂ Certified AIÂ 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)Â 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!
We will go deep for those who want it, though. Hands-on activities will give you practice in building a custom chatbot using Amazon Bedrock and Knowledge Bases, building Guardrails for AI safety, and building a fully-fledged LLM agent armed with tools to extend an AI application - all just using the AWS console on the web. And demo videos walk you through training and using machine learning models using AmazonÂ SageMaker.
You'll be fully prepared for the exam with an included 20-question practice test and 80 quiz questions in the style of AWS exams.
Unlike other AWS certifications, there is a big business focus on this one. In addition to how the tech works, we'll also review best practices for the entire AI and machine learning lifecycle, the dimensions of "responsible AI," and best practices for security and governance with AI.
Some topics we'll cover include:

Fundamental concepts and terminologies of AI, ML, and Generative AI
How deep learning and large language models (LLM's) work
Evaluating and measuring AI models
Machine learning design principles
Machine learning operations (MLOps)
Use cases of AI,Â ML, and GenAI
Prompt engineering
Building machine learning pipelines with SageMaker
Common machine learning algorithms
Building generative AI applications withÂ AmazonÂ Bedrock
Retrieval Augmented Generation (RAG)
LLMÂ Agents
Amazon Q Business, Q Developer, and Q Apps
High-level AWS AI and machine learning services
Model training and fine-tuning techniques
Responsible AI
AIÂ Governance and Security
Although this is a course about AI, it is not AI-generated! You'll learn from a real human instructor who passed the real exam, with real human experience in building AI applications in a professional setting.
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Instructor
Hey, I'm Frank Kane. I have successfully passed the AIF-C01 exam myself, and have ensured this course contains everything you need to know. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, andÂ I'm best known for my top-selling courses in "big data", data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch. I've been awarded 26 issued patents in the field of machine learning.
I've been teaching on Udemy since 2015, where I've reached over 850,000 students all around the world!
I've worked hard to keep this course up to date with the latest developments in AWS's machine learning and artificial intelligence technologies, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready!
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This course also comes with:
Lifetime access to all future updates
9+ hours of video training
80 quiz questions to assess your readiness
A responsive instructor in the Q&A Section
Udemy Certificate of Completion Ready for Download
A 30 Day "No Questions Asked" Money Back Guarantee!
Join us in this course if you want to pass the AWS Certified AI Practitioner exam and master the world of AIÂ and machine learning on the AWS platform!
Who this course is for:
Technologists seeking certification in artificial intelligence and machine learning technologies on Amazon Web Services
The AIF-C01 exam is aimed at a wide variety of roles, including sales and marketing, project managers, product managers, managers, and more - it's not just for developers.

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Sundog Education by Frank Kane

Instructor's Courses

Sundog Education's mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford. Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

Frank Kane

Instructor's Courses

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.

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