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





The Generative AI Cloud Odyssey: Exploring AWS, Azure, and GCP Training
Generative AI Cloud Odyssey E-Learning Training Gecertificeerde docenten Quizzen Assessments Tips trucs en Certificaat.
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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
Taal | Engels |
---|---|
Kwalificaties van de Instructeur | Gecertificeerd |
Cursusformaat en Lengte | Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testen |
Lesduur | 30:03 uur |
Assesments | De assessment test uw kennis en toepassingsvaardigheden van de onderwerpen uit het leertraject. Deze is 365 dagen beschikbaar na activering. |
Online Virtuele labs | Ontvang 12 maanden toegang tot virtuele labs die overeenkomen met de traditionele cursusconfiguratie. Actief voor 365 dagen na activering, beschikbaarheid varieert per Training. |
Online mentor | U heeft 24/7 toegang tot een online mentor voor al uw specifieke technische vragen over het studieonderwerp. De online mentor is 365 dagen beschikbaar na activering, afhankelijk van de gekozen Learning Kit. |
Voortgangsbewaking | Ja |
Toegang tot Materiaal | 365 dagen |
Technische Vereisten | Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge. |
Support of Ondersteuning | Helpdesk en online kennisbank 24/7 |
Certificering | Certificaat van deelname in PDF formaat |
Prijs en Kosten | Cursusprijs zonder extra kosten |
Annuleringsbeleid en Geld-Terug-Garantie | Wij beoordelen dit per situatie |
Award Winning E-learning | Ja |
Tip! | Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform. |
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