Maven - The AI Engineering Bootcamp (5 - 2025)

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Maven - The AI Engineering Bootcamp (5 - 2025) (Size: 8.3 GB)
  Session 1 Introduction and Vibe Check.mp4 340.4 MB
  Session 10 Fine-Tuning LLMs & Reasoning Models.mp4 358.1 MB
  Session 11 Midterm.mp4 453.8 MB
  Session 12 AIM Games + Pitches.mp4 1.1 GB
  Session 13 Advanced Retrieval Methods for RAG.mp4 293.5 MB
  Session 14 Advanced Agents and Reasoning.mp4 436.5 MB
  Session 15 Intro to Production and Open-Source Endpoints.mp4 267.4 MB
  Session 16 Deploying and Operating RAG in Production.mp4 305.6 MB
  Session 17 On-Prem Agents.mp4 416.5 MB
  Session 18 Inference, Serving, and GPU Optimization.mp4 390.5 MB
  Session 2 Embeddings, Retrieval Augmented Generation (RAG).mp4 799.7 MB
  Session 3 End-to-End RAG Deployment and 2025 Industry Use Cases.mp4 284.7 MB
  Session 4 RAG and Evaluation with LangChain & LangSmith.mp4 349.3 MB
  Session 5 Agents and Evaluation with LangGraph & LangSmith.mp4 346.9 MB
  Session 6 Multi-Agent Applications with LangGraph.mp4 335.5 MB
  Session 7 Synthetic Data Generation for Evaluation.mp4 322.2 MB
  Session 8 RAG Evaluation and Assessment.mp4 346.9 MB
  Session 9 Fine-Tuning Embeddings or Domain-Adapted Retrieval.mp4 323.3 MB
  code.zip 920.1 MB
  ▲ 19 total files

Description


WHO HAS TAKEN THIS COURSE

Since its launch in January 2024, over 250 people have taken the course! The most successful participants have been Software Engineers and Developers or Data Scientists and Machine Learning/AI Specialists, indicating a focus on analytics, modeling, and artificial intelligence.

Here is a list of companies whose employees have already taken the course:

Google, Meta, Microsoft, Amazon, Samsung, Salesforce, IBM, Oracle, Bloomberg, Deloitte, Atlassian, SAP, Infosys, ServiceNow, Shopify, NetApp, Autodesk, Jio Platforms, JP Morgan Chase (JPMC), Walmart, Chevron, Expedia, NTT Data, Ernst & Young, Fannie Mae, National Grid, State Farm, USAA, BMO, TD Bank, Mercer, Kiewit, BP, CVS, Safran, Appian
The most important thing for anyone taking the course is to take it seriously. This advanced course requires commitment, debugging, resilience, and tenacity. These personal attributes matter much more than your current company or job title.
Whether you're coming from a software engineering or data science background, to be a world-class AI Engineer, you'll need to know both. This class will teach you the lego blocks of building production-grade LLM applications software as an AI-Assisted Developer. This is where your journey begins!

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