Get Our 8-Hour GenAI Primer, 60-Hour LLM Developer Conversion Course and E-Book as a Bundle and Save $130! 

Why Are You Learning This?

Think of these resources as your toolkit for navigating real-world LLM implementation. Whether it’s deciding between using context windows or RAG, fine-tuning your RAG pipeline, or understanding what works (and what doesn’t) in production, these are the challenges waiting for you beyond this course. We’ve put this together to make sure you’re prepared so that when it’s time to apply what you’ve learned, you’ll have the answers at hand.
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Your Toolkit for Practical Implementation of LLMs?

These are additional resources for the 8-Hour Generative AI Primer Course

  • Optimizing RAG Workflows: Learn methods like metadata filtering, hybrid search, query variation, augmentation, re-ranking, routing, and pipeline evaluation to optimize retrieval-augmented generation for real-world use cases.

  • LLMs as Coding Assistants: Integrate LLMs as your coding assistants to learn faster, deploy more customized solutions, and improve pipeline functionality.

  • LLMs in Production: Understand key considerations for deploying LLMs in production, including performance, reliability, and observability.

  • LLM Agents for Complex Tasks: Learn how to leverage LLM agents and tools to handle intricate workflows and solve multi-step problems.

  • Directory of Useful APIs and Tools: Access a curated list of APIs and tools to expand your capabilities and stay updated in the ever-evolving AI ecosystem.

Complimentary Resources

We recommend taking some more time to go through it at your own pace after the 8-hour crash course.

    1. Introduction - Complimentary Material

    2. Part 4 Overview: Future-Oriented Training- Complementary Material

    3. Advanced RAG Techniques Overview

    4. Long Context LLMs & Context Caching vs RAG

    5. Evaluating Your RAG Pipeline

    6. Image Generation (Diffusion) and Speech models

    7. Generating Speech and Audio

    8. How LLMs can be used as coding assistants

    9. Key Metrics and Evaluation Methods for RAG

    10. Observability and Tracing in Production; Langsmith, Phoenix and Langfuse

    11. Quick Tips for Improving LLM Apps Once in Production

    12. Fine-Tuning LLMs for RAG: Boost Model Performance and Accuracy

    13. LLM Agents: LLM Pipelines and Tool Use for Complex Tasks

    14. Access More AI Models with Hugging Face’s APIs

    15. Processing and Structuring Internal Data

    16. How to Find More Useful APIs and Tools

    17. Staying Ahead of AI Developments

    18. Last Words

About this course

  • Free
  • 18 lessons

What's Inside The 8-hour GenAI Primer Course?

  • AI Theory 101 & Limitations of LLMs – Understand how LLMs process information, their strengths, and their weaknesses, so you can use them effectively and avoid common pitfalls.

  • Using ChatGPT – Learn how to integrate ChatGPT into your workflows and start building functional LLM solutions immediately.

  • Introduction to Leading LLMs – Gain insights into the top LLMs, how to select the best one for your use case, and different ways to interact with them for optimal results.

  • Prompting 101 & Evaluation – Discover how to craft effective prompts, use advanced techniques, and iteratively refine them to consistently achieve accurate and relevant outputs.

  • No-Code Agent Builder Platforms – Explore tools that allow you to design and deploy AI-driven solutions quickly without requiring coding expertise.

  • Certification and Community Access

  • Get VIP access to our internal Slack channel for mentorship and discussions to enhance your learning experience.