To prepare for generative AI, focus on building a solid foundation in AI, machine learning, and programming, especially with Python, to understand the core concepts and technologies.
Explore the free generative AI course and familiarize yourself with the concepts of LLMs, fine-tuning, RAG, vector DBs, diffusion models, chatbots, agents, and prompting techniques.
4.6
12 Lessons
1h 12min
Updated 3 months ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of core concepts of generative AI, including LLMs, fine-tuning LLMs, and RAG
- Familiarity with LangChain for building advanced, AI-powered applications that integrate various generative models
- An understanding of using prompt engineering techniques to craft effective and efficient prompts that generate desired AI responses
- Familiarity with vector databases for managing and organizing AI-generated content, enabling seamless application integration
- An understanding diffusion models, AI agents, and smart chatbots, including their applications in image generation, automation, and enhancing human-AI interactions
Learning Roadmap
2.
Unlock the Power of Generative AI
Unlock the Power of Generative AI
This chapter explores generative AI’s fundamentals, applications, and challenges in content creation and intelligent systems.
AI Content Creation BasicsDemystifying Large Language Models (LLMs)Optimizing and Training LLMsEffective Prompt Design for AI InteractionBuilding Generative AI Applications with LangChainUtilizing Vector Databases in AI SolutionsEnhancing LLMs with RAGCreating AI-Generated Images with Diffusion ModelsIntelligent AI Agents and Advanced ChatbotsChallenges and Limitations of Generative AI
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ABOUT THIS COURSE
Since the rise of generative AI, the landscape of content creation and intelligent systems has profoundly transformed with large language models (LLMs). This free generative AI course will guide you through the fascinating evolution of generative AI, exploring how these models power everything from text generation to advanced multimodal capabilities.
You’ll begin with the basics of content creation. You’ll explore what generative AI is and how does generative AI works. You’ll learn how LLMs and diffusion models are used to generate everything from text to images. You’ll get familiar with LangChain and vector databases in managing AI-generated content. You’ll also cover RAG and the evolving role of AI agents and smart chatbots.
From fine-tuning LLMs for specialized tasks to creating multimodal AI experiences with AI-powered images and speech recognition, you’ll unlock the full potential of generative AI with this free course and navigate the future challenges of this dynamic field.
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