Udemy - AI Engineering and LLM MasterClass

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.6 GB
  • Uploaded Byfreecoursewb
  • Downloads541
  • Last checkedJun. 01st '26
  • Date uploadedMay. 31st '26
  • Seeders 49
  • Leechers11

Infohash : 1C9B246A760849DC82231FEF4664C824499281A4

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

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

Code:

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