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Generative AI Crash Course for Beginners

Learn the fundamentals of Generative AI and Large Language Models (LLMs) in this beginner-friendly bootcamp. Over 3 days, explore key concepts, tools, and techniques, from understanding AI to building text, chat, and image generation applications, with hands-on exercises and real-world examples.
  • Training Type
    Live Training
  • Category
    Artificial Intelligence
  • Duration
    6 Hours
  • Rating
    4.9/5
Generative AI Crash Course for Beginners

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.

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Call Us : +510-849-6155
Email : support@simplivlearning.com

Available Batches

There are no upcoming batches. You can Enroll for a recorded sessions.

Pricing

Live
Single Attendee
249 416
Live Session
Recorded
Single Attendee
299 499
6 month Access for Rec
Live+Recorded
Single Attendee
349 583
6 month Access for Rec
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Curriculum
Total Duration : 6 Hours
Setup the Development Environment
  • Learn How to Setup Your Development Environment  
Introduction to Generative AI and LLMs
  • Learn Understanding what Generative AI is and how Large Language Models (LLMs) work.  
Exploring and comparing different LLMs
  • Learn How to select the right model for your use case  
Using Generative AI Responsibly
  • Learn How to build Generative AI Applications responsibly  
Understanding Prompt Engineering Fundamentals
  • Learn Hands-on Prompt Engineering Best Practices  
Creating Advanced Prompts
  • Learn How to apply prompt engineering techniques that improve the outcome of your prompts.  
Creating Advanced Prompts
  • Learn How to apply prompt engineering techniques that improve the outcome of your prompts.  
Building Text Generation Applications
  • Build A text generation app using Azure OpenAI / OpenAI API  
Building Chat Applications
  • Build Techniques for efficiently building and integrating chat applications.  
Building Search Apps Vector Databases
  • Build A search application that uses Embeddings to search for data.  
Building Image Generation Applications
  • Build A image generation application  
Building Low Code AI Applications
  • Build A Generative AI application using Low Code tools  
Integrating External Applications with Function Calling
  • Build What is function calling and its use cases for applications  
Designing UX for AI Applications
  • Build What is function calling and its use cases for applications  
Designing UX for AI Applications
  • Learn How to apply UX design principles when developing Generative AI Applications  
Securing Your Generative AI Applications
  • Learn The threats and risks to AI systems and methods to secure these systems.  
The Generative AI Application Lifecycle
  • Learn The tools and metrics to manage the LLM Lifecycle and LLMOps  
Retrieval Augmented Generation (RAG) and Vector Databases
  • Build An application using a RAG Framework to retrieve embeddings from a Vector Databases  
Open Source Models and Hugging Face
  • Build An application using open source models available on Hugging Face  
AI Agents
  • Build An application using an AI Agent Framework  
Fine-Tuning LLMs
  • Learn The what, why and how of fine-tuning LLMs