AWS Certified AI Practitioner AIF-C01 - Beginner to Advanced
- Description
- Curriculum
- FAQ
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Welcome to the most comprehensive course on AWS Generative AI and Machine Learning from a practicing AWS GenAI Architect with real world experience in building Enterprise Generative AI Applications.
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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.
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This course will help you :
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Pass the AWS Certified AI Practitioner AIF-C01
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Explain in detail with Hands-On demo of all the AWS Generative AI Services and usage in Enterprise Scenario
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Learn all the basic concepts of Generative AI, AI-ML
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Hands-On and Quizzes in each section
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25+ Quiz Questions at end of each section to test the learning of key concepts with detailed explanations
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200+ Slides on various course topics
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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 8000+ students, 1000+ Reviews and 1.5 Million viewing mins.
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Here is a detailed list of topics covered as part of course :
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Learn Fundamental Concepts of AI and ML
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Fundamental Concepts of Generative AIs
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Application of Generative AI – Bedrock Agents, Bedrock Knowledge Bases, Bedrock Guardrails
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Deep dive into AWS GenAI Services – Amazon Q, Amazon Bedrock, Amazon Sagemaker Jumpstart, Tranium,Inferentia
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GenAI Application Lifecycle – Use Case Selection, Prompt Engineering, Foundation Model Selection, Fine Tuning
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Responsible AI & Security
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AWS AI-ML Services
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No prior AI-ML or Generative Experience or coding experience required
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Try out the course and I promise you will not be disappointed.
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Comes with A 30 Day “No questions Asked” Money Back Guarantee! from Udemy, if you donot like the course
This course also comes with:
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7+ hours of video training
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Quiz questions to test your concepts
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Udemy Certificate of Completion
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A 30 Day “No Questions Asked” Money Back Guarantee!
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Lifetime access to all future updates
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3
Section Overview - Fundamentals of AI-ML -
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Artificial Intelligence - Overview
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Machine Learning - Overview and Use Cases
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Deep Learning and Neural Networks
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Overview of Artificial Intelligence Landscape - Mental Map
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Computer Vision and Convolutional Neural Network
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9
Computer Vision - Capabilities and Use Cases
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10
AWS AI Service (Computer Vision) - Amazon Rekognition (HandsOn)
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Natural Language Processing - Overview and Use Cases
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AWS AI Service (Natural Language Processing) - Amazon Lex (HandsOn)
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Knowledge Check - 1
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14
Section Overview
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15
What is Generative AI
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How Generative AI works 1 - Prompt, Completion and Infererences
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How Generative AI works 2 - Tokens, Parameters, Temperature, Open Source Models
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Generative AI Use Cases
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Foundation Model Types - LLM's, Multimodal, Diffusion Models (HandsOn)
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Vectors, Embeddings and Vector DB
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Vectors, Embeddings and Vector DB (HandsOn)
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Retrieval Augumented Generation (RAG) - Overview
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Knowledge Check - 2
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AWS Generative AI Services
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AWS GenAI Service - Amazon Q Business
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AWS GenAI Service - Amazon Q Business(HandsOn)
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AWS GenAI Service - Amazon Q Developer
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AWS GenAI Service - Amazon Q Developer (HandsOn)
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AWS GenAI Service - Amazon Bedrock Overview
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AWS GenAI Service - Amazon Bedrock (HandsOn)
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AWS GenAI Service - PartyRock (HandsOn)
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AWS GenAI Service - Sagemaker Jumpstart
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AWS GenAI Service - Tranium and Inferentia
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AWS GenAI Service - Tranium and Inferentia (HandsOn)
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Knowledge Check - 3
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Section Overview
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Advanced Concepts - Knowledge Bases for Amazon Bedrock
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Advanced Concepts - Knowledge Bases for Amazon Bedrock (HandsOn)
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Advanced Concepts - Agents for Amazon Bedrock (HandsOn)
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Advanced Concepts - Agents for Amazon Bedrock - Architecture
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Advanced Concepts - Bedrock Guardrails
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Foundation Model - Inference Parameters
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Knowledge Check - 4
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Generative AI Lifecycle
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Phase 1 - Use Case Selection
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Phase 2 - Foundation Model Selection
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Phase 2 - Foundation Model Evaluation Criteria - HandsOn
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Phase 3 - Prompt Engineering - Part 1
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Phase 3 - Prompt Engineering - Part 2
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Phase 3 - Model Fine Tuning
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Phase 3 - Model Fine Tuning HandsOn
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Knowledge Check - 5
