Download Udemy - AI Engineering and LLM MasterClass torrent

Udemy - AI Engineering and LLM MasterClass

Torrent:	Udemy - AI Engineering and LLM MasterClass
Description:	AI Engineering & LLM MasterClass https://WebToolTip.com Published 5/2026 Created by Ganesh Ravikumar MP4 \| Video: h264, 1920x1080 \| Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate \| Genre: eLearning \| Language: English \| Duration: 73 Lectures ( 3h 56m ) \| Size: 1.6 GB LangChain • RAG • AI Agents • Fine-Tuning • Vector DBs • LLMOps • OpenAI • HuggingFace — Real Projects, Real Deployment What you'll learn ⚡ Every section has a real deployable project ⚡ Goes beyond ChatGPT wrappers into actual engineering ⚡ Covers what companies actually hire for — RAG, Agents, Fine-tuning, LLMOps ⚡ Includes evaluation, cost optimisation, and responsible AI ⚡ 2026-current tools and frameworks only Requirements ❗ No AI/ML background needed — we build from the ground up
Downloads:	541
Category:	Other /Tutorials
Size:	1.6 GB
Show Files »	[ WebToolTip.com ] Udemy - AI Engineering and LLM MasterClass Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - The AI Engineering Landscape in 2026 1. S1_Foundations_Resource.py (12.3 KB) 1. The AI Engineering Landscape in 2026.mp4 (44.9 MB) 2. How Large Language Models Work (No Maths Required).mp4 (41.8 MB) 3. The LLM Ecosystem — Frontier vs Open Source.mp4 (55.2 MB) 4. Development Environment Setup.mp4 (34.5 MB) 5. Cost Management & Token Economics.mp4 (18.9 MB) 10 - LLMOps PRODUCTION, MONITORING & COST 58. S10_Complete_Resource.py (16.3 KB) 58. What is LLMOps.mp4 (32.6 MB) 59. Prompt Versioning.mp4 (19.4 MB) 60. Cost Optimization.mp4 (25.3 MB) 61. Guardrails Safety.mp4 (19.0 MB) 62. Deployment Strategies.mp4 (19.6 MB) 63. Testing LLM Systems.mp4 (18.9 MB) 64. LLMOps_Tools.mp4 (15.4 MB) 11 - MULTIMODAL AI 65. Vision Models & GPT-4o Vision.mp4 (30.0 MB) 66. Building Vision-Powered Applications.mp4 (20.1 MB) 66. S11_Complete_Resource.py (16.8 KB) 67. Audio Whisper & Speech-to-Text.mp4 (23.0 MB) 68. Text-to-Speech & Voice Agents.mp4 (22.3 MB) 69. Multimodal RAG.mp4 (22.3 MB) 12 - RESPONSIBLE AI, SAFETY & GOVERNANCE 3. Quiz Time.html (18.5 KB) 70. LLM Safety Risks & Threat Model.mp4 (17.7 MB) 70. S12_Complete_Resource.py (17.1 KB) 70. S12_Project11_Responsible_AI.pptx (33.4 KB) 71. Guardrails & Content Filtering.mp4 (21.8 MB) 72. Privacy, Compliance & Data Governance.mp4 (19.7 MB) 73. AI Governance & Responsible Deployment.mp4 (22.5 MB) 73. Cap_1_Capstone_Overview_an.pptx (36.5 KB) 73. Cap_2_Implementation_Guide.pptx (36.4 KB) 73. Cap_3_Presentation_and_Por.pptx (36.5 KB) 73. Capstone_Complete_Resource.py (19.8 KB) 2 - PROMPT ENGINEERING AS A DISCIPLINE 10. Prompt Testing & Evaluation.mp4 (18.2 MB) 11. Prompt Versioning & Management.mp4 (25.6 MB) 6. S2_Complete_Resource.py (17.4 KB) 6. The Anatomy of a Prompt.mp4 (47.2 MB) 7. Advanced Prompting Techniques.mp4 (53.0 MB) 8. Structured Output — Getting JSON Every Time.mp4 (31.5 MB) 9. Prompt Injection & Security.mp4 (32.0 MB) 3 - WORKING WITH LLM APIs 1. Knowledge Check.html (20.5 KB) 12. OpenAI API Deep Dive.mp4 (53.4 MB) 12. S3_Complete_Resource.py (15.6 KB) 12. S3_Project2_AI_Gateway.pptx (33.6 KB) 13. Anthropic Claude API.mp4 (34.6 MB) 14. Google Gemini API.mp4 (36.5 MB) 15. Building a Unified LLM Interface.mp4 (48.6 MB) 16. Async and Concurrent API Calls.mp4 (22.6 MB) 17. Response Caching & Cost Reduction.mp4 (22.7 MB) 18. Logging, Observability & Debugging.mp4 (23.2 MB) 4 - VECTOR DATABASES & EMBEDDINGS 19. S4_Complete_Resource.py (11.8 KB) 19. What Are Embeddings.mp4 (37.3 MB) 20. Similarity Search Deep Dive.mp4 (33.0 MB) 21. Vector Database Landscape.mp4 (24.5 MB) 22. ChromaDB Hands-On.mp4 (9.6 MB) 23. Pinecone for Production.mp4 (9.6 MB) 24. Chunking Strategies.mp4 (16.9 MB) 5 - RAG RETRIEVAL AUGMENTED GENERATION 2. Quiz Time!.html (20.4 KB) 25. S5_Complete_Resource.py (13.0 KB) 25. S5_Project4_Knowledge_Assistant.pptx (33.6 KB) 25. Why RAG The Problem It Solves.mp4 (13.1 MB) 26. Naive RAG — The Basic Pipeline.mp4 (13.2 MB) 27. Advanced Retrieval Techniques.mp4 (14.8 MB) 28. RAG Evaluation — Measuring What Matters.mp4 (17.8 MB) 29. Hybrid Search RAG.mp4 (22.7 MB) 30. Corrective RAG & Self-RAG.mp4 (9.8 MB) 31. GraphRAG — Knowledge Graph Enhanced Retrieval.mp4 (13.7 MB) 32. Production RAG Architecture.mp4 (2.7 MB) 6 - LANGCHAIN & LLM ORCHESTRATION 33. LangChain Architecture & Philosophy.mp4 (15.8 MB) 33. S6_Complete_Resource.py (25.4 KB) 33. S6_Project5_Document_Pipeline.pptx (33.6 KB) 34. Chains & LCEL.mp4 (13.8 MB) 35. Memory Systems.mp4 (12.0 MB) 36. Document Loaders & Text Splitters.mp4 (9.6 MB) 37. LangChain Retrievers.mp4 (19.5 MB) 38. Output Parsers & Structured Data.mp4 (9.9 MB) 39. LangGraph Introduction.mp4 (34.2 MB) 7 - AI AGENTS & AGENTIC SYSTEMS 40. S7_Complete_Resource.py (18.4 KB) 40. S7_Project6_Research_Agent.pptx (33.7 KB) 40. What Are AI Agents (Description).html (0.7 KB) 40. What Are AI Agents.mp4 (30.0 MB) 41. Tool Use & Function Calling.mp4 (24.2 MB) 42. LangChain Agents.mp4 (8.1 MB) 43. LangGraph for Agentic Workflows.mp4 (8.6 MB) 44. Multi-Agent Systems with CrewAI.mp4 (11.4 MB) 45. Multi-Agent Systems with AutoGen.mp4 (16.2 MB) 46. MCP — Model Context Protocol.mp4 (8.6 MB) 47. Agent Reliability & Production Patterns.mp4 (10.9 MB) 8 - FINE-TUNING LLMs (LoRA QLoRA) 48. S8_Complete_Resource.py (7.9 KB) 48. S8_Project7_FineTune.pptx (33.6 KB) 48. When to Fine-Tune (And When NOT To).mp4 (11.5 MB) 49. Preparing Data.mp4 (9.0 MB) 50. Open AI Fine Tuning.mp4 (7.6 MB) 51. LoRA & QLoRA.mp4 (9.9 MB) 52. Evaluation Itration.mp4 (18.5 MB) 9 - OPEN-SOURCE LLMs & LOCAL DEPLOYMENT 53. OSS LLM Landscape.mp4 (20.7 MB) 53. S9_Complete_Resource.py (9.1 KB) 53. S9_Project8_Local_RAG.pptx (33.5 KB) 54. Ollama Local.mp4 (10.8 MB) 55. Production vLLM.mp4 files
Added:	2026-05-31 16:48:21
Language:	English
Peers:	Seeders : 49 , Leechers : 11
Tags:	Development Data Science Udemy
Release name:	Udemy - AI Engineering and LLM MasterClass
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