Generative AI Crash Course for Beginners
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Training TypeLive Training
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CategoryArtificial Intelligence
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Duration6 Hours
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Rating4.9/5
Course Introduction
About the Course
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 Objective
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.
Who is the 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 Knowledge
Basic understanding of programming concepts (preferably Python).
Interest in AI and machine learning concepts.
Available Batches
| 03 Dec 2024 | Tue - Thu ( 3 Days) | 02:00 PM - 04:00 PM (Eastern Time) |
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Learn How to Setup Your Development Environment
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Learn Understanding what Generative AI is and how Large Language Models (LLMs) work.
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Learn How to select the right model for your use case
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Learn How to build Generative AI Applications responsibly
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Learn Hands-on Prompt Engineering Best Practices
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Learn How to apply prompt engineering techniques that improve the outcome of your prompts.
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Learn How to apply prompt engineering techniques that improve the outcome of your prompts.
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Build A text generation app using Azure OpenAI / OpenAI API
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Build Techniques for efficiently building and integrating chat applications.
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Build A search application that uses Embeddings to search for data.
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Build A image generation application
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Build A Generative AI application using Low Code tools
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Build What is function calling and its use cases for applications
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Build What is function calling and its use cases for applications
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Learn How to apply UX design principles when developing Generative AI Applications
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Learn The threats and risks to AI systems and methods to secure these systems.
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Learn The tools and metrics to manage the LLM Lifecycle and LLMOps
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Build An application using a RAG Framework to retrieve embeddings from a Vector Databases
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Build An application using open source models available on Hugging Face
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Build An application using an AI Agent Framework
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Learn The what, why and how of fine-tuning LLMs