| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 9.5 MB | ||
| 10 - Conclusion | |||
| 2 - CHAPTER 0 SETUP | |||
| 10. LOCAL_instructions_of_use.pdf | 104 KB | ||
| 10. Local VScode Instructions of Use.html | 5.5 KB | ||
| 2. Chapter presentation.mp4 | 18.9 MB | ||
| 3 - CHAPTER I CONTEXT ENGINEERING FOUNDATIONS | |||
| 11. Chapter presentation.mp4 | 7.1 MB | ||
| 12. Effective context engineering for AI agents.url | 102.4 B | ||
| 12. What is context engineering.mp4 | 22.6 MB | ||
| 13. Unified and open governance for data and AI.url | 102.4 B | ||
| 13. Unity Catalog.mp4 | 75.5 MB | ||
| 13. What is Unity Catalog.url | 102.4 B | ||
| 14. MLflow 3 docs on Databricks.url | 102.4 B | ||
| 14. MLflow.mp4 | 53.6 MB | ||
| 15. Lakebase Autoscaling overview. Databricks docs.url | 102.4 B | ||
| 15. Lakebase.mp4 | 14.6 MB | ||
| 15. Postgres compatibility (PG16, params, pg_stat_statements). Databricks docs.url | 102.4 B | ||
| 15. Synced tables reverse ETL (Delta → Lakebase). Databricks docs.url | 102.4 B | ||
| 15. What is pgvector (positioning operational vs. lakehouse). Databricks blog.url | 102.4 B | ||
| 16. Anthropic — Extended thinking.url | 102.4 B | ||
| 16. Build agent.mp4 | 76.6 MB | ||
| 16. Effective Context Engineering for AI Agents. Anthropic Engineering.url | 102.4 B | ||
| 17. Drew Breunig — How contexts fail and how to fix them.url | 102.4 B | ||
| 17. Drew Breunig — How to fix your context.url | 102.4 B | ||
| 17. Failure modes & context strategies.mp4 | 53.1 MB | ||
| 17. Less is More — dynamic tool selection (Berkeley FCL).url | 102.4 B | ||
| 4 - CHAPTER II SYSTEM PROMPT & INSTRUCTION DESIGN | |||
| 18. Chapter presentation.mp4 | 6.2 MB | ||
| 19. Genie space.mp4 | 98.4 MB | ||
| 20. Prompt engineering overview.url | 102.4 B | ||
| 20. Prompt.mp4 | 104.2 MB | ||
| 21. Few-shot selection.mp4 | 54.4 MB | ||
| 22. Token tradeoff.mp4 | 40.8 MB | ||
| 5 - CHAPTER III KNOWLEDGE RETRIEVAL & GENIE CONFIGURATION | |||
| 23. Chapter presentation.mp4 | 12.7 MB | ||
| 24. RAG (Retrieval Augmented Generation) on Databricks.url | 102.4 B | ||
| 24. RAG introduction.mp4 | 7.8 MB | ||
| 25. Build an unstructured data pipeline for RAG.url | 102.4 B | ||
| 25. RAG workflow.mp4 | 89.5 MB | ||
| 26. Chunking.mp4 | 68.3 MB | ||
| 26. Chunking.url | 102.4 B | ||
| 27. Vector Search.mp4 | 68.8 MB | ||
| 28. Genie space curation.mp4 | 23.7 MB | ||
| 29. UC metadata diagnosis.mp4 | 33.9 MB | ||
| 30. RAG pipeline.mp4 | 66.3 MB | ||
| 30. ai_parse_document function.url | 102.4 B | ||
| 31. Vector search diagnosis.mp4 | 51.6 MB | ||
| 6 - CHAPTER IV MEMORY ARCHITECTURE WITH LAKEBASE & MLFLOW | |||
| 32. Chapter presentation.mp4 | 7.2 MB | ||
| 33. AI agent memory. Databricks docs.url | 102.4 B | ||
| 33. Agent state and memory (Lakebase). Databricks docs.url | 102.4 B | ||
| 33. Lakebase architecture.mp4 | 18.1 MB | ||
| 34. Agent state and memory (Lakebase). Databricks docs.url | 102.4 B | ||
| 34. Memory Retrieval Quality & Context Integrity.mp4 | 25.7 MB | ||
| 35. Create lakebase endpoint.mp4 | 13.8 MB | ||
| 36. AI agent memory (Model Serving).url | 102.4 B | ||
| 36. Short memory agent.mp4 | 61.9 MB | ||
| 7 - CHAPTER V TOOL DESIGN, MCP & AGENT CONTEXT | |||
| 37. Chapter presentation.mp4 | 12 MB | ||
| 38. AI agent Tools.url | 102.4 B | ||
| 38. Agent tools.mp4 | 67.5 MB | ||
| 38. Model Context Protocol (MCP) on Databricks.url | 102.4 B | ||
| 39. Create tools.mp4 | 112.1 MB | ||
| 40. Connect GitHub MCP.mp4 | 67.6 MB | ||
| 40. Install an external MCP.url | 102.4 B | ||
| 41. Progressive disclosure.mp4 | 56.6 MB | ||
| 42. Agent layered MCP.mp4 | 14.9 MB | ||
| 43. Context pruning.mp4 | 31.8 MB | ||
| 8 - CHAPTER VI CONTEXT COMPRESSION & COMPACTION | |||
| 44. Chapter presentation.mp4 | 5.8 MB | ||
| 45. Compaction. Claude Developer Platform.url | 102.4 B | ||
| 45. OpenAI Compaction.url | 102.4 B | ||
| 45. What is compaction.mp4 | 55.2 MB | ||
| 46. Compaction - Hands-on.mp4 | 42.8 MB | ||
| 9 - CHAPTER VII MULTI-AGENT & LONG HORIZON TASK DESIGN | |||
| 47. Chapter presentation.mp4 | 5.6 MB | ||
| 48. Anthropic — How we built our multi-agent research system.url | 102.4 B | ||
| 48. Databricks Supervisor Agent.url | 102.4 B | ||
| 48. Multi-agent Failure.mp4 | 93.8 MB | ||
| 3. Databricks Free Edition limitations.url | 102.4 B | ||
| 3. Databricks Free Version.mp4 | 5.9 MB | ||
| 3. Free Edition.url | 102.4 B | ||
| 3. Sign up for Databricks Free Edition.url | 102.4 B | ||
| 4. Connect GitHub to Databricks.mp4 | 48.2 MB | ||
| 4. GitHub Repos.url | 102.4 B | ||
| 5. Get API Key.url | 102.4 B | ||
| 5. Get a Claude API key.mp4 | 15.7 MB | ||
| 5. Get started with Claude.url | 102.4 B | ||
| 6. Create & Manage LLM Credentials.mp4 | 33.4 MB | ||
| 7. Create a Claude Serving Endpoint.mp4 | 35.6 MB | ||
| 8. Create a PDF Volume.mp4 | 58.7 MB | ||
| 9. Create Delta table from CSV.mp4 | 101.9 MB | ||
| 49. Conclusion.mp4 | 4.1 MB |
Databricks Certified Context Engineering Associate
https://WebToolTip.com
Published 7/2026
Created by olivier AUFFRET
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 49 Lectures ( 5h 39m ) | Size: 2.1 GB
How do you optimize LLM inputs ?
What you'll learn
⚡ Navigate the databricks GenAI ecosystem
⚡ Diagnostic and solve GenAI context issues.
⚡ Prepare the Databricks Context Engineer Associate Certification
⚡ Fill a context window without 'context rot'.
Requirements
❗ Basic Python programming
❗ Familiarity with SQL
❗ A general understanding of what large language models (LLMs) are
❗ A GitHub account
❗ No prior Databricks experience required
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| 3 GB | freecoursewb | 10 hours | 1 | 8 | |
| 1.3 GB | freecoursewb | 10 hours | 1 | 5 | |
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Udemy - Databricks Playbook - Operate, Govern and Defend the Lakehouse Posted by
freecoursewb in Other
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2.3 GB | freecoursewb | 10 hours | 1 | 6 |
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Udemy - Databricks Spark Streaming, Delta Lake and SQL, AI Analytics Posted by
freecoursewb in Other
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3.3 GB | freecoursewb | 10 hours | 1 | 5 |
| 287 MB | freecoursewb | 2 months | 4 | 1 |
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