AI Engineering Bootcamp Building AI Applications (LangChain, LLM APIs + more) | Ze... - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: AI Engineering Bootcamp Building AI Applications (LangChain, LLM APIs + more) | Ze... (/Thread-AI-Engineering-Bootcamp-Building-AI-Applications-LangChain-LLM-APIs-more-Ze)

AI Engineering Bootcamp Building AI Applications (LangChain, LLM APIs + more) | Ze... - OneDDL - 08-23-2025 Free Download AI Engineering Bootcamp: Building AI Applications (LangChain, LLM APIs + more) ZerotoMastery Released 8/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 181 Lessons ( 18h 33m ) | Size: 3.2 GB Learn to build AI applications using LLM APIs and cutting edge tools including LangChain, LangSmith, and LangGraph. This is developer training for the new era of programming. What you'll learn Use OpenAI & Gemini APIs to build real-world AI applications Craft effective prompts using proven engineering techniques Build chatbots, voice apps, and image generation tools Use LangChain to create agents that use memory and tools Work with embeddings & RAG for smarter search and Q&A Build multi-step agents with LangGraph and LangSmith Analyze, debug, and improve LLM-powered apps Build a full-featured AI Research Assistant from scratch This course is your hands-on path to becoming a Generative AI engineer...someone who doesn't just use AI, but builds with it. You'll start by leveling up your Python skills, mastering how to structure modular code, handle APIs, and manipulate data. Then, you'll dive deep into the world of large language models (LLMs)-how they work, how they're trained, and how to talk to them effectively through advanced prompt engineering. From there, it's all about application. You'll learn how to build real-world AI-powered apps using the OpenAI and Gemini APIs-working with chat, image, and audio features. You'll go even further by learning frameworks like LangChain for chaining prompts and building agents, and LangGraph for orchestrating stateful, multi-step workflows. You'll give your apps memory using embeddings and vector databases, and learn to debug and scale production-ready systems with LangSmith. And it's not just theory. Throughout the course, you'll build chatbots, intelligent image tools, search-driven Q&A systems, and more. The final capstone brings everything together as you build a research agent that uses retrieval, tools, and reasoning to generate high-quality summaries of real-world data. This is how you go from experimenting with AI. to engineering it. Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable