The GenAI Toolkit: Frameworks, Libraries, and Open-Source Resources

Thurs, July 10 | noon - 1:30pm ET

Feeling overwhelmed by the explosion of GenAI tools and repos? In this 90-minute, code-focused webinar, we’ll zero in on just the essentials you need to prototype and launch a basic GenAI service—no fluff, highly practical. You’ll walk away with working examples and a lean toolkit you can assemble today.

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What You'll Experience:

  • Core Framework Demo: Live walkthrough of spinning up a simple retrieval-augmented Python app using popular frameworks (e.g. LangChain, LlamaIndex, HuggingFace, etc).
  • Model & Embedding Primer: Side-by-side comparison of two lightweight open-source LLMs (e.g. GPT4All vs. Vicuna) and embedding libraries—so you can make a quick, practical choice.
  • Starter Kit Delivery: A curated GitHub repo with sample code, minimal dependencies, and step-by-step instructions to clone, install, and run within an hour.

Who Should Attend

  • AI/ML engineers or data scientists pressed for time
  • Backend or full-stack developers looking to add GenAI features fast
  • Technical leads wanting a one-day, hands-on intro for their team
  • Product managers who need a concrete proof-of-concept by tomorrow

What Makes This Webinar Different:

You don’t need weeks of research to get started—just the right combination of tools and examples. This webinar strips away the noise so you can focus on coding, testing, and iterating your GenAI prototype before the sun sets.

What's Included:

All attendees get the “One-Day GenAI Starter Kit” PDF: repos, Open source model links, and explicit setup commands—everything you need to be up and running by day’s end.

myles brown headshot

About the presenter:

Manu Mulaveesala is a veteran technical instructor with more than a decade of consulting, development, and teaching experience in Artificial Intelligence, Data Science, and Machine Learning. During this time, he has taught more than 5,000 students spanning more than 100 organizations, 20 countries, and varying technical backgrounds. Manu provides a dynamic and adaptive learning environment and enjoys tailoring trainings to clients' real-world projects and goals.