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Azure OpenAI Bootcamp for Developers: Platform, Generative AI, Models, Prompt Engineering
Description
Azure OpenAI Bootcamp for Developers Introduction
Welcome to the Azure OpenAI Bootcamp for Developers, a dynamic and comprehensive two-day training program designed specifically for developers beginning their journey with Azure OpenAI. This bootcamp, an integral part of Azure AI Training for Developers, aims to provide a robust introduction to the world of AI through the lens of Azure’s powerful tools and platforms.
Throughout this immersive experience, you will be guided by a Microsoft Azure-certified AI expert.
The training focuses on hands-on, practical application of AI within the Azure ecosystem, empowering you to implement innovative AI solutions that enhance the intelligence and efficiency of your applications.
During the course, you’ll explore key topics such as Generative AI, the extensive capabilities of Azure OpenAI, and the fundamentals of Azure Cognitive Services. This course is designed to equip you with the knowledge and skills needed to excel in AI programming and application development using Azure.
Azure OpenAI Bootcamp for Developers Objectives
- Understand Azure OpenAI services and their significance in business environments, essential for enhancing your Azure AI skills.
- Develop practical skills with Azure Cognitive Services, pivotal in Machine Learning with Azure OpenAI.
- Create, deploy, and monitor machine learning workflows, a crucial part of Azure Machine Learning.
- Build intelligent chatbots, a core skill in Azure AI and Chatbot Development.
- Gain proficiency in using Azure tools for data analysis, a key component of Azure Data Science and Analytics.
Prerequisites
- A basic understanding of AI, beneficial for grasping Azure Cognitive Services training.
- Familiarity with Python, although not essential; lab code will be provided.
- An understanding of data structures to better your learning in Azure Machine Learning.
- A collaborative mindset, eager to engage in team-based exercises and collaborative learning.
Audience
- Data scientists and machine learning engineers seeking comprehensive content on OpenAI GPT-3.
- IT managers and advanced tech enthusiasts aiming to get hands-on experience with AI Application Development using Azure.
Azure OpenAI Bootcamp for Developers – Day 1
Azure OpenAI Bootcamp – Introduction and Overview
- Introduction to OpenAI and Azure OpenAI
- Core competencies and objectives of OpenAI and Azure OpenAI
- Distinctive features of both platforms
- Comparative evaluation of OpenAI and Azure OpenAI
- Hands-on Lab: Comparison of OpenAI and Azure OpenAI
- Discussion and debrief
Unfolding Generative AI
- Definition of generative AI
- Evolution and historical context of generative AI
- Use-cases of generative AI in various industries
- Overview of generative AI algorithms and frameworks
- Hands-on Lab: Investigating real-world applications of generative AI
- Review and analysis of findings
Deep Dive into Azure OpenAI
- Detailed overview of Azure OpenAI
- In-depth analysis of Azure OpenAI’s architecture and infrastructure
- Key features and benefits of Azure OpenAI
- Overview of Azure OpenAI applications and success stories
- Hands-on Lab: Exploring Azure OpenAI capabilities through practical exercises
- Discussion on insights and challenges
AI Models Exploration
- Introduction to GPT-4, GPT-3, DALL-E, Codex, and Embedding
- Overview of model development and evolution
- Comparison of features and use-cases of each model
- Exploration of the potential future advancements and applications of these models
- Activity: Practical demonstration of different model uses
- Analysis and review
The Art of Prompt Engineering: The Basics
- Introduction to the concept of prompt engineering
- Understanding the core principles of prompt engineering
- Importance and role of prompt engineering in AI model performance
- Analysis of common challenges and solutions in prompt engineering
- Hands-on Lab: Basic of prompt engineering tasks
- Discuss and review findings and strategies
Azure OpenAI Bootcamp for Developers – Day 2
Mastering Prompt Engineering: Advanced Topics
- Deep dive into advanced topics like space efficiency, few-shot learning, and non-chat scenarios
- Exploration of key strategies like clear instructions, prime the output, and clear syntax
- Review of real-world examples of advanced prompt engineering
- Analysis of common mistakes and pitfalls in advanced prompt engineering
- Hands-on Lab: Advanced prompt engineering activities
- Review outcomes and insights
Azure OpenAI Bootcamp Workloads and Access
- Overview of different Azure OpenAI workloads
- Analysis of workload performance and scalability
- Procedures for accessing the Azure OpenAI Service
- Review of Azure OpenAI Service’s reliability and maintenance
- Hands-on Lab: Accessing and using Azure OpenAI
- Discuss challenges and solutions
Fine-Tuning Mastery: GPT Model
- Introduction to the concept of fine-tuning a GPT model
- Understanding the mathematical principles behind fine-tuning
- Steps and tips for efficient fine-tuning
- Analysis of common challenges in fine-tuning and potential solutions
- Hands-on Lab: Exercise to fine-tune a GPT model
- Review outcomes and insights
Essentials of Embeddings and Indexing
- Understanding embeddings and indexing
- Introduction to the mathematical theories behind embeddings and indexing
- Importance and real-world applications of embeddings and indexing
- Discussion on the challenges and potential advancements in embeddings and indexing
- Hands-on Lab: Practical activity on implementing embeddings and indexing
- Discuss the application and challenges
Content Filtering Made Simple
- Introduction to content filtering in Azure OpenAI Studio
- Understanding the mathematical models behind content filtering
- Key best practices for effective content filtering
- Discussion on ethical and legal considerations in content filtering
- Hands-on Lab: Set up and configure content filters
- Discuss and review outcomes
Building a Private Business GPT
- Concepts of LangChain and Llama Index
- Introduction to the principles and best practices in GPT business application
- Guidelines for creating a private business GPT
- Discussion on the challenges and future of business GPTs
- Hands-on Lab: Create a private business GPT
- Discuss and review project
Ensuring Security and Effective Monitoring
- Introduction to Azure Tooling for security
- Overview of the principles of secure AI deployment
- Best practices for monitoring Azure OpenAI applications
- Discuss future challenges and advancements in AI security and monitoring
- Hands-on Lab: Practical activities on security setup and monitoring
- Discuss outcomes and insights
Azure OpenAI Responsible AI Practices and Limited Access Policies
- Overview of Azure OpenAI’s responsible AI practices
- Understanding the ethical considerations in AI application
- Understanding Azure OpenAI’s limited access policies
- Discussion on the legal framework and potential challenges in AI access policies
- Hands-on Lab: Implementing responsible AI practices
- Discuss outcomes, analysis, and insights
Azure OpenAI Bootcamp Capstone Project
- FINAL LAB: Comprehensive project that integrates learning from all modules
- Final project review and feedback session
- Wrap-up, Q&A
$1895.00
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2 Days Course |