Introduction:

In the rapidly evolving landscape of artificial intelligence and machine learning, staying abreast of the latest technologies and tools is crucial. Azure Gen AI and ML, offered by Microsoft, provide a cutting-edge platform for developers and data scientists to harness the potential of generative AI. As I delved into the realm of Azure Gen AI and ML, I discovered a rich curriculum that serves as a roadmap for mastering these transformative technologies. In this blog post, I am excited to share this curated curriculum to help a larger audience embark on their journey of mastering Azure Gen AI and ML.

Foundational Training:

1. Python 101 for Beginners:

• Resource Link: Python for Beginners
• Python is the backbone of many AI and ML applications. This beginner-friendly course provides a solid foundation for understanding Python, a language widely used in the world of data science.

1. Introduction to AI on Azure:

• Resource Link: Get started with AI on Azure
• This module introduces fundamental concepts of AI and provides hands-on experience with AI tools on the Azure platform.

1. Introduction to Generative AI:

• Resource Link: Introduction to Generative AI
• Gain insights into generative AI, a revolutionary approach that empowers machines to create new content, images, and more.

1. Introduction to GitHub Copilot for Business:

• Resource Link: Introduction to GitHub Copilot for Business
• Explore the innovative GitHub Copilot tool and learn how it can enhance your AI development workflow.

Azure Open AI Training:

5. Develop Generative AI Solutions with Azure OpenAI Service:

• Resource Link: Develop Generative AI solutions with Azure OpenAI Service
• Dive into the specifics of creating generative AI solutions using Azure OpenAI Service.

5. Work with Generative AI Models in Azure Machine Learning:

• Resource Link: Work with generative models in Azure Machine Learning
• Learn the intricacies of working with generative AI models within the Azure Machine Learning framework.

5. Build Natural Language Solutions with Azure OpenAI Service:

• Resource Link: Build natural language solutions with Azure OpenAI Service
• Explore the capabilities of Azure OpenAI Service in building natural language solutions.

5. Introduction to Prompt Engineering:

• Resource Link: Introduction to prompt engineering
• Understand the concept of prompt engineering and its significance in shaping AI outcomes.

5. Apply Prompt Engineering with Azure OpenAI Service:

• Resource Link: Apply prompt engineering with Azure OpenAI Service
• Gain practical skills in applying prompt engineering techniques to fine-tune AI models.

Advanced Concepts:

10. LLM AI Embeddings with LangChain, Semantic Kernel, and Vector DB:

• LLM AI Embeddings:
  • Resource Link: LLM AI Embeddings
• Vector Database:
  • Resource Link: Vector Database
• Cognitive Search Generate Embeddings:
  • Resource Link: Cognitive Search Generate Embeddings

10. LangChain for LLM Application Development:
    • Resource Link: LangChain for LLM Application Development
11. LangChain Chat with Your Data:
    • Resource Link: LangChain Chat with Your Data
12. Orchestrate your AI with Semantic Kernel:
    • Resource Link: Orchestrate your AI with Semantic Kernel

Conclusion:

Mastering Azure Gen AI and ML opens the doors to a world of possibilities. The provided curriculum offers a comprehensive learning path, covering foundational concepts to advanced techniques. As you navigate through these resources, you’ll acquire the skills and knowledge needed to leverage the full potential of Azure Gen AI and ML. Whether you’re a beginner or an experienced professional, this curriculum serves as a valuable guide for anyone looking to enhance their proficiency in the dynamic field of artificial intelligence and machine learning.