Course Information
- Anytime
(Pricing Details
Recorded
$ 499 (Old Price)
$ 299)
Course Overview
Description
This crash course provides an intensive introduction to Generative AI for beginners, covering 18 essential topics over 3 days. You’ll learn the basics of AI, prompt engineering, and how to build practical applications like chatbots, text and image generation tools, and more. The sessions will combine theory and practice, offering hands-on exercises to help you understand and apply the key concepts. By the end of the course, you’ll be equipped to start developing your own AI-powered applications and understand the principles behind using AI responsibly.
Course Objectives
- Understand the basics of Generative AI and LLMs.
- Explore different AI models and their applications.
- Learn prompt engineering fundamentals and advanced techniques.
- Build various AI applications, including text, chat, image generation, and search apps.
- Understand how to use AI responsibly and securely.
- Learn the lifecycle management of AI applications and techniques like Retrieval Augmented Generation (RAG).
- Gain insights into integrating external applications, designing UX, and using low-code tools.
Target Audience
- Beginners interested in learning about Generative AI and LLMs.
- Developers and technologists looking to enhance their skills in AI.
- Product managers and UX designers interested in AI applications.
- Anyone with a passion for exploring AI technologies and their applications.
Basic Understanding
- Basic understanding of programming concepts (preferably Python).
- Interest in AI and machine learning concepts.
What You’ll Learn
Course Content
- Setup the Development Environment
- Introduction to Generative AI and LLMs
- Exploring and comparing different LLMs
- Using Generative AI Responsibly
- Understanding Prompt Engineering Fundamentals
- Creating Advanced Prompts
- Creating Advanced Prompts
- Building Text Generation Applications
- Building Chat Applications
- Building Search Apps Vector Databases
- Building Image Generation Applications
- Building Low Code AI Applications
- Integrating External Applications with Function Calling
- Designing UX for AI Applications
- Designing UX for AI Applications
- Securing Your Generative AI Applications
- The Generative AI Application Lifecycle
- Retrieval Augmented Generation (RAG) and Vector Databases
- Open Source Models and Hugging Face
- AI Agents
- Fine-Tuning LLMs