- Compare different LLM architectures for specific use cases.
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Learn EDR Internals: Research & Development From The Masters
Overview
Google, IBM & Meta Certificates – 40% Off
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Master generative AI development from foundational concepts to production systems. Learn LLMs, transformer architectures, advanced RAG implementations, vector databases, and enterprise deployment strategies. This path is perfect for developers building intelligent applications, chatbots, content generation tools, and AI-powered solutions that generate and retrieve contextual information at scale for business innovation.
Syllabus
Courses under this program:
Course 1: Generative AI vs. Traditional AI
-See the key differences between generative and traditional AI.
Course 2: Introduction to Large Language Models
-Learn about large language models—what they are, what they can do, and how they work.
Course 3: Generative AI: Working with Large Language Models
-Explore a user-friendly approach to working with transformers and large language models for natural language processing.
Course 4: LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)
-Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.
Course 5: Advanced RAG Applications with Vector Databases
-Discover cutting-edge methods to perform retrieval-augmented generation (RAG) with a vector database.
Course 6: RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
-Fine-tune LLMs in Azure AI Studio using retrieval augmentation to create domain-specific AI systems using state-of-the-art RAFT technique.
Course 7: GenAIOps Foundations
-Leverage GenAIOps in your enterprises for effective development, deployment, and management of GenAI applications.
Course 1: Generative AI vs. Traditional AI
-See the key differences between generative and traditional AI.
Course 2: Introduction to Large Language Models
-Learn about large language models—what they are, what they can do, and how they work.
Course 3: Generative AI: Working with Large Language Models
-Explore a user-friendly approach to working with transformers and large language models for natural language processing.
Course 4: LLM Foundations: Vector Databases for Caching and Retrieval Augmented Generation (RAG)
-Learn about the basics of vector databases and how to use them in LLM caching and retrieval-augmented generation.
Course 5: Advanced RAG Applications with Vector Databases
-Discover cutting-edge methods to perform retrieval-augmented generation (RAG) with a vector database.
Course 6: RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
-Fine-tune LLMs in Azure AI Studio using retrieval augmentation to create domain-specific AI systems using state-of-the-art RAFT technique.
Course 7: GenAIOps Foundations
-Leverage GenAIOps in your enterprises for effective development, deployment, and management of GenAI applications.
Courses
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Learn about the basics of generative AI, including its history, popular models, how it works, ethical implications, and much more.
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Develop your AI skills by learning how to design and fine-tune prompts that can interact directly with large language models.
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Discover the capabilities of the OpenAI API and learn how to integrate AI into your applications and projects.
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Get started building apps powered by large language models in this hands-on, skills-based course for beginners.
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Use AI coding assistants to accelerate software development with rapid code generation, iterative experimentation, test-driven development, and automated refactoring.
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Learn how modern prompting blends chat, research, and automation as AI agents move from conversation to real execution.
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See the key differences between generative and traditional AI.
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Learn how to use the latest tools and technologies of generative AI, including the OpenAI API, to create next-generation Python applications.
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Discover how to leverage the power of ChatGPT to create your own customized applications. Learn about large language models and prompting to bring your own chatbot to life.
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Master building products with OpenAI GPTs using just English. No coding skills required—turn your ideas into reality.
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Learn the skills and knowledge needed to create a portfolio of Python-based applications and tools that can be showcased to employers or used to bring your own ideas to life.
Taught by
Pinar Demirdag, Doug Rose, Xavier (Xavi) Amatriain, Ray Villalobos, Morten Rand-Hendriksen, Sandy Ludosky, Kesha Williams, Denys Linkov, Han-chung Lee, Alina Li Zhang and Priya Ranjani Mohan