The Generative AI Cloud Odyssey: Exploring AWS, Azure, and GCP E-Learning Training 

Ontdek de kracht van cloud computing en generatieve AI met onze Generative AI Cloud Odyssey Training. Verken hoe AWS, Google Cloud Platform en Azure geavanceerde AI-modellen en deep learning mogelijk maken. Verkrijg een solide basis in Generative AI-concepten, inclusief Large Language Models (LLM's), en leer hoe je deze cloudplatforms kunt gebruiken voor geavanceerde AI-oplossingen. Boek nu om je vaardigheden te verbeteren en de kracht van cloud-gebaseerde generatieve AI te benutten!

Deze LearningKit met meer dan 30 leeruren is verdeeld in drie sporen:

Cursusinhoud

The LearningKit is divided into the following four tracks:

• Track 1: Generative AI for Innovation and Business Value
• Track 2: Exploring Generative AI on AWS
• Track 3: Exploring Generative AI on Azure
• Track 4: Exploring Generative AI on GCP

Track 1: Generative AI for Innovation and Business Value

E-learning courses:

Generative AI: An Introduction to Generative AI Concepts

Course: 2 Hours, 38 Minutes

• Course Overview
• What Is Generative Artificial Intelligence (AI)
• Generative AI vs. Other AI Approaches
• Fundamental Concepts in Generative AI
• The Generative AI Ecosystem
• Generative Models: GANs and VAEs
• Workflow of Training Generative Models
• Strengths and Limitations of Generative Models
• Generative AI: Prospects and Challenges
• Synthetic Data with Generative AI
• Generating Synthetic Data with Generative AI
• Ethical Considerations in Generative AI
• Generative Model Evaluation
• Real-world Applications of Generative AI
• The Impact of Generative AI on Society and Creativity
• Responsible AI in the Generative Era
• Course Summary

Generative AI: Generative Modeling Foundations

Course: 1 Hour, 58 Minutes

• Course Overview
• Introduction to Training Generative Models
• Bayesian Statistics and Examples
• Generative vs. Discriminative Models
• Framework of Generative Modeling
• Generative Model Types
• Deep Dive into Variational Autoencoders (VAEs)
• Generative Adversarial Networks (GANs) Unveiled
• Autoregressive Models Explored
• Introduction to Normalizing Flow Models
• Energy-based Models: A Primer
• Diffusion Models
• Generative Model Evaluation
• Course Summary

Generative AI: Getting Started with Large Language Models (LLMs)

Course: 1 Hour, 36 Minutes

• Course Overview
• Large Language Models (LLMs)
• Architecture of LLMs
• Pre-training Approaches
• Impact of Data on Performance
• Fine-tuning LLMs
• Ethical Implications of LLMs
• LLMs and Text Generation
• Challenges in Large Model Training
• Applications of LLMs
• Bias Mitigation in LLMs
• Research and Advancements in LLMs
• Course Summary

Generative AI: Exploring the Depths of Large Language Models in Generative AI

Course: 1 Hour, 48 Minutes

• Course Overview
• Analyzing the Architectural Components in Large Language Models (LLMs)
• Evaluating the Impact of Training Approaches
• Implementing Fine-tuning Techniques
• Analyzing Challenges in LLMs
• Controllable Text Generation
• General Purpose vs. Domain-specific LLMs
• Executing Domain-specific Fine-tuning
• Multimodal Generative AI
• Multimodal Implementation
• Handling Bias in LLMs
• Optimizing LLM Architectures
• Emerging Trends in LLMs
• Course Summary

Generative AI: Leveraging Generative AI for Business

Course: 1 Hour, 38 Minutes

• Course Overview
• Generative AI for Business
• Business Challenges and Opportunities with Generative AI
• Ethical Implications of Business AI
• Generative AI Success Stories
• Business Impact of Generative AI
• Data Management for AI in Business
• Techniques of Generative AI for Business
• Human-AI Collaboration in Business
• Risks and Mitigations of Business AI
• Legal Aspects of AI in Business
• Return on Investment (ROI) of Generative AI
• Strategic AI Roadmap for Businesses
• Course Summary

Assessment:

• Final Exam: Demystifying Generative AI

Track 2: Exploring Generative AI on AWS

E-learning courses:

Generative AI on AWS: Generative AI on AWS: Getting Started

Course: 1 Hour, 10 Minutes

• Course Overview
• Generative Artificial Intelligence (AI) Principles in an AWS Context
• Advantages of Using AWS for Generative AI
• Foundational Models in AWS and Their Popularity
• AI Startup Foundational Models
• How Foundational Models Operate
• Power of Generative Models by Foundational Models
• AWS Generative AI Services
• AI Services vs. Generative AI Services on AWS
• AWS Generative AI Service Deep Dive
• Generative AI Uses Cases
• Working with Generative AI on AWS
• Course Summary

Generative AI on AWS: Building GenAI Models with Amazon SageMaker

Course: 1 Hour, 36 Minutes

• Course Overview1
• Fundamental Concepts of Generative Models
• Types of Generative Models: GANs and VAEs
• Comparing Generative Model Architectures
• Designing GANs with Amazon SageMaker
• Performing Data Preprocessing for Generative Models in SageMaker
• Training Generative Models with SageMaker Algorithms
• Executing Distributed Training of Generative Models in SageMaker
• Optimizing and Fine-tuning Generative Models in SageMaker
• Applying Transfer Learning for Generative Models in Specific Domains
• Evaluating Generated Content Quality and Diversity
• Deploying Generative Models in SageMaker for Real-time Inference
• Monitoring Generative Models in SageMaker
• Course Summary

Generative AI on AWS: Building GenAI Models with Amazon Bedrock

Course: 1 Hour, 6 Minutes

• Course Overview
• Amazon Bedrock
• Generative AI Models with Amazon Bedrock
• Benefits of Amazon Bedrock
• Amazon Bedrock API
• Using the Amazon Bedrock Console
• Developing a Generative AI Model
• Evaluating a Generative AI project
• Designing a Business Application Using Amazon Bedrock
• Amazon Bedrock Strengths and Weaknesses
• Course Summary

Generative AI on AWS: Generating Code with Amazon CodeWhisperer

Course: 1 Hour, 8 Minutes

• Course Overview
• Artificial Intelligence (AI) Code Generation Explained
• Amazon CodeWhisperer
• Code Generation with CodeWhisperer
• CodeWhisperer Use Cases
• Key Features of CodeWhisperer
• Setting Up CodeWhisperer
• Getting Started with CodeWhisperer
• Code Suggestions
• Configuring Security Scans
• Optimizing Software Development with CodeWhisperer
• CodeWhisperer Best Practices
• Course Summary

Generative AI on AWS: Generating Speech with Amazon Polly

Course: 1 Hour, 25 Minutes

• Course Overview
• Amazon Polly
• Key Features of Amazon Polly
• Ways to Use Amazon Polly
• Trying out Amazon Polly
• Getting Started with Amazon Polly
• Installing and Configuring Amazon Polly for Windows
• Synthesizing Speech Programmatically
• Working with Amazon Polly Security
• Exploring Amazon Polly Voice Options
• Neural TTS
• Using Speech Marks
• Implementing API Actions Using Amazon Polly
• Amazon Polly Best Practices
• Data Types
• Course Summary

Generative AI on AWS: Creating Intelligent Chatbots

Course: 1 Hour, 25 Minutes

• Course Overview
• Intelligent Chatbots
• Amazon Lex
• Key Features of Amazon Lex
• Ways to Use Amazon Lex
• Getting Started with Amazon Lex
• Building Bots
• Deploying Bots
• Integrating Amazon Lex and Amazon Polly
• Filtering Based on User Context
• Using Responses
• Integration with Amazon Lex
• Best Practices for Using Intelligent Chatbots
• Chatbot Performance Evaluation
• Course Summary

Generative AI on AWS: Deploying & Managing GenAI Services on AWS

Course: 1 Hour, 6 Minutes

• Course Overview
• Generative Artificial Intelligence (AI) Services
• AWS Machine Learning Solutions
• Generative AI Deployment Services in AWS
• Best Practices for Using Generative AI
• Preparing for Generative AI Deployment on AWS
• Scalable and Highly Available Architecture
• Pretrained AWS AI Services
• Security, Compliance, and Vulnerability Management
• New Tools for AWS Generative AI
• Intelligent Document Processing
• Course Summary

Assessment:

• Final Exam: Generative AI on AWS

Track 3: Exploring Generative AI on Azure

E-learning courses:

Generative AI on Azure: Introduction to Generative AI on Azure

Course: 1 Hour, 25 Minutes

• Course Overview
• Understanding Generative Artificial Intelligence (AI) and How it Works
• Types of Generative AI Models
• Azure Services for Generative AI
• Advantages of Generative AI with Microsoft Azure
• Azure OpenAI Service
• Azure Bot Service
• Azure Machine Learning
• Privacy and Policy Considerations for Generative AI Application Development
• Chatbot Creation with Azure Generative AI
• Personalized Marketing Content with Azure Generative AI
• New Product Development with Azure Generative AI
• How Generative AI Models are Trained and Tuned
• Course Summary

Generative AI on Azure: Generative AI with Azure OpenAI

Course: 1 Hour

• Course Overview
• Introduction to Azure OpenAI Service
• Azure OpenAI Service Models
• Practical Uses for Azure OpenAI Service
• Artificial Intelligence (AI) Content Generation Principles
• Integration with Azure OpenAI
• Text and Question Answering with Azure OpenAI
• Azure OpenAI vs. Other Generative AI Services
• Azure OpenAI Pricing
• Limitations of Azure OpenAI
• The Future for Azure OpenAI
• Course Summary

Deep Dive Into Generative AI with Azure OpenAI

Course: 2 Hours

• Course Overview
• Introduction to Azure OpenAI Architecture
• Getting Started with Azure OpenAI
• Deploying Models with Azure OpenAI
• Working with Azure OpenAI Studio Playground
• Exploring Azure OpenAI Studio Management Features
• Building a Custom App
• Fine-tuning Azure OpenAI Models
• Generating Text
• Performing Language Translation
• Creating Assistants
• Generating Images
• Azure OpenAI Monitoring and Troubleshooting
• Integrating with Azure OpenAI Service
• Azure AI Search
• Integrating OpenAI and Azure AI Search
• Configuring Azure OpenAI for Privacy and Compliance
• Quotas and Collaboration using Azure OpenAI Service
• Course Summary

Generative AI & the Azure Bot AI Service

Course: 1 Hour, 16 Minutes

• Course Overview
• Azure Bot Service
• Generative AI Models and Bots
• The Ethics of Generative AI-driven Bots
• Azure Cognitive Services and Scaling
• Monitoring Azure Bots
• Data Security and Azure Bot Service
• Azure AI Bot Service Cost Monitoring
• Using a Low-code Solution to Build an AI Bot
• Training and Deploying AI Models for CLU Projects
• Integrating an AI Language Resource with AI Search
• Creating a Custom Question Answering Bot
• Monitoring and Troubleshooting Azure Bots
• Course Summary

Assessment:

• Final Exam: Generative AI on Azure

Track 4: Exploring Generative AI on GCP

E-learning courses:

Generative AI on GCP: An Introduction

Course: 1 Hour, 57 Minutes

• Course Overview
• Introduction to Generative Artificial Intelligence (AI)
• Google Cloud Platform (GCP) and Generative AI
• Advantages of Generative AI with GCP
• Generative AI Challenges on GCP1
• GCP Machine Learning
• The Generative AI Life Cycle
• Image Generation and Natural Language Processing (NLP)
• Generating Images with GCP
• Working with Natural Language Processing in GCP
• Best Practices for Developing Generative AI
• GCP Privacy, Security, and Compliance
• Monitoring and Logging with GCP
• Generative AI Use Cases
• Course Summary

Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI

Course: 1 Hour, 39 Minutes

• Course Overview
• Introduction to Vertex AI
• Vertex AI Features
• Deploying a Model with Vertex AI
• Simplifying End-to-end Workflow with Vertex AI
• Pros and Cons of Vertex AI
• How Vertex AI Accelerates Development and Deployment
• Selecting, Training, and Evaluating Models
• Integrating Vertex AI with AI Frameworks
• Data Preparation, Feature Engineering, and Model Evaluation
• Vertex AI Success Stories
• Course Summary

Generative AI on GCP: Harnessing Generative AI with Vertex AI

Course: 1 Hour, 14 Minutes

• Course Overview
• Generative AI Support in Vertex AI
• Vertex AI Generative AI Models
• Generative AI Studio
• Working with the Vertex AI API
• Using Vertex AI Model Garden
• Working with Models in Model Garden
• Creating Custom Models in Vertex AI
• Responsible AI with Safety Filters
• Vertex AI Search and Conversation
• Using Vertex AI Search and Conversation
• Course Summary

Generative AI on GCP: Deep Dive Into Generative AI Studio

Course: 1 Hour, 37 Minutes

• Course Overview
• Generative AI Prompt Design
• Using Generative AI Prompt Samples
• Training a Model with Generative AI Studio
• Tuning a Language Model
• Evaluating Model Performance
• Google Cloud Platform (GCP) Generative AI Deployment
• Deploying a Model
• How Organizations Use GCP Generative AI
• Converting Speech to Text
• Prototyping Language Applications
• Course Summary

Generative AI on GCP: Building Generative AI-powered Apps in GCP

Course: 1 Hour, 17 Minutes

• Course Overview
• Plan and Build a Generative Artificial Intelligence (AI) Model
• Setting up a Python Environment
• Loading Training Data
• Designing and Building a Generator
• Designing and Building Discriminator
• Building a Training Loop
• Running a Training Loop
• Dockerizing the Training Script
• Running a Docker Container on Vertex AI
• Deploying a Finished Model to an API Endpoint
• Course Summary

Assessment:

• Final Exam: Generative AI on GCP