Learn Generative AI and pass AWS AI Certification

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Ashish Prajapati

7:30:59

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1 - Introduction

1 -Introduction.mp4

03:56

2 - AI ML Fundamentals

1 -AI Fundamentals.mp4

06:15

1 -Module 1 - AI ML Fundamentals.pdf

2 -Making a recommendation.mp4

06:19

3 -What is a Model.mp4

06:55

4 -Model - An Analogy.mp4

07:56

5 -Supervised, Unsupervised and Reinforcement.mp4

17:08

6 -Comparison.mp4

03:54

7 -Data Types.mp4

02:54

8 -Batch and Real-time Inference.mp4

03:40

9 -Deep Learning.mp4

09:06

3 - Generative AI Fundamentals

1 -Module 2 - Generative AI Fundamentals.pdf

1 -What is Generative AI.mp4

02:35

2 -Foundation Models.mp4

11:15

3 -Large Language Model (LLM).mp4

03:34

4 -Transformer Models.mp4

08:14

5 -Text Generation.mp4

07:07

4 - Generative AI at AWS

1 -Gen AI at AWS.mp4

09:00

1 -Module 3 - Generative AI at AWS.pdf

2 -Amazon Bedrock.mp4

08:44

3 -Amazon Bedrock - Demo.mp4

08:31

4 -Amazon Bedrock - Terminologies.mp4

07:05

5 -Customization.mp4

04:53

6 -Prompt Engineering.mp4

14:58

7 -Retrieval Augmented Generation (RAG).mp4

06:59

8 -Knowledge Bases.mp4

10:15

9 -Amazon Bedrock Agents - Part 1.mp4

10:42

10 -Amazon Bedrock Agents - Part 2.mp4

11:35

11 -Pricing.mp4

06:34

12 -Integration with other services.mp4

06:24

13 -Guardrails.mp4

10:30

14 -Randomness and diversity.mp4

05:53

5 - Finetuning your model

1 -Fine Tuning.mp4

05:49

1 -Module 4 - Finetuning your model.pdf

2 -Fine-tuning vs. Continued Pre-training.mp4

06:58

3 -Custom Model in Amazon Bedrock.mp4

15:41

6 - Build your own model

1 -Module 5 - Build your own model.pdf

1 -Why build your own model.mp4

02:16

2 -Analogy - Beer or Wine Prediction Model.mp4

11:51

3 -Roles in ML Team.mp4

04:29

4 -MLOps.mp4

07:25

5 -Amazon SageMaker.mp4

07:01

6 -Components and Features.mp4

02:01

7 -Prepare your data.mp4

17:47

8 -Build your model.mp4

09:27

9 -Train your model.mp4

03:36

10 -Deploy your model.mp4

04:21

11 -Amazon SageMaker Endpoints.mp4

10:11

12 -End-to-End-Demo-Part 1.mp4

19:09

13 -End-to-End-Demo-Part 2.mp4

11:57

7 - Monitoring your model

1 -Module 6 - Monitor your model.pdf

1 -Monitoring Business Metrics.mp4

04:25

2 -Monitoring Technical Metrics.mp4

11:02

8 - Responsible AI

1 -Module 7 - Responsible AI.pdf

1 -Responsible AI.mp4

05:13

2 -Tackle AI Challenges.mp4

09:40

9 - AWS AI ML Services

1 -AWS AI ML Stack.mp4

04:13

1 -Module 8 - ML services in AWS.pdf

2 -Amazon Augmented AI.mp4

03:48

3 -Amazon Comprehend.mp4

04:27

4 -Amazon Fraud Detector.mp4

02:47

5 -Amazon Kendra.mp4

03:37

6 -Amazon Lex.mp4

02:10

7 -Amazon Personalize.mp4

04:34

8 -Amazon Polly.mp4

02:57

9 -Amazon Q Business and Developer.mp4

04:59

10 -Amazon Rekognition.mp4

02:57

11 -Amazon Textract.mp4

03:16

12 -Amazon Transcribe.mp4

03:32

13 -Amazon Translate.mp4

03:06

14 -Other AWS Services.mp4

04:32

10 - Getting ready for exam

1 -Getting ready for exam.mp4

06:54

1 -Module 9 - Get Ready for Exam.pdf

Description

Learn and effectively demonstrate overall knowledge of AI/ML, generative AI technologies

What You'll Learn?

Understand AI, ML, and generative AI concepts, methods, and strategies in general and on AWS.
Understand the appropriate use of AI/ML and generative AI technologies to ask relevant questions within the candidate’s organization.
Determine the correct types of AI/ML technologies to apply to specific use cases.
Use AI, ML, and generative AI technologies responsibly.
Acquire the knowledge and pass AWS AI Practitioner Exam (AIF-C01) with confidence

Who is this for?

Anyone who wants to learn about Generative AI in easy and fun way through analogies

Anyone who is preparing for AWS AI Practitioner Certification

What You Need to Know?

No programming or machine learning experience needed

More details

Description
Whether youâ€™re new to generative AI or an experienced builder, develop your knowledge and skills with training curated by an experts AWS authorized professional. This course will help you to develop a holistic understanding of generative AI to keep pace with advancements and form business insights.

Generative artificial intelligence (generative AI) is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. AI technologies attempt to mimic human intelligence in non-traditional computing tasks like image recognition, natural language processing (NLP), and translation. Generative AI is the next step in artificial intelligence.

Youâ€™ve probably heard a lot of conversation about artificial intelligence (AI) and generative AI. According to a study by AWS, hiring AI-skilled talent is a priority among 73% of employersâ€”but three out of four who consider it a priority canâ€™t find the AI talent they need.

And AI skills arenâ€™t just for techies; having a grasp of cloud and AI fundamentals can help you future-proof careers in business roles, such as marketing, program management, and customer support. Showcasing your understanding of AI concepts can give you an edge in the global job market. According to AWSâ€™s study, organizations are willing to pay a premium for professionals with AI skills. This includes salaries that are up to 47% higher for IT workers, 43% higher for those in sales and marketing, and 42% higher for those in finance.

Recognizing the value of AI in all industries, AWS recently launched a new certification to empower professionals with the knowledge to drive AI adoption responsibly. The new AWS Certified AI Practitioner certification could be the perfect credential to help launch â€“ or advance â€“ your tech career, and sharpen your competitive edge in business careers. This certification validates your understanding of core AI and machine learning (ML) concepts and use cases, as well as your ability to identify appropriate AWS services to implement AI solutions.

Are you ready to take a streamlined approach to getting ahead of the competition in todayâ€™s global workforce? I am excited to announce a new learning pathway to help learners prepare for this certification exam.

You would learn about the following exam domains:
â€¢ Domain 1: Fundamentals of AI and ML (20% of scored content)
â€¢ Domain 2: Fundamentals of Generative AI (24% of scored content)
â€¢ Domain 3: Applications of Foundation Models (28% of scored content)
â€¢ Domain 4: Guidelines for Responsible AI (14% of scored content)
â€¢ Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)
Who this course is for:
Anyone who wants to learn about Generative AI in easy and fun way through analogies
Anyone who is preparing for AWS AI Practitioner Certification

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Amazon AWS

Ashish Prajapati

Instructor's Courses

Ashish is a technical professional currently based in London, UK. He is passionate about helping individuals and enterprises in learning Cloud skills in an easy and fun way.His deep background as a virtualization and cloud migration expert allows him to leverage his field knowledge into the classroom by bringing real world examples to learners.His work has helped many cloud enthusiasts get started with the cloud, learn the fundamentals, and achieve cloud certifications.

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