Udemy - Databricks Certified Context Engineering Associate

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1. Introduction.mp4 (9.5 MB)
10 - Conclusion
• 49. Conclusion.mp4 (4.1 MB)
2 - CHAPTER 0 SETUP
• 10. LOCAL_instructions_of_use.pdf (104.0 KB)
• 10. Local VScode Instructions of Use.html (5.5 KB)
• 2. Chapter presentation.mp4 (18.9 MB)
• 3. Databricks Free Edition limitations.url (0.1 KB)
• 3. Databricks Free Version.mp4 (5.9 MB)
• 3. Free Edition.url (0.1 KB)
• 3. Sign up for Databricks Free Edition.url (0.1 KB)
• 4. Connect GitHub to Databricks.mp4 (48.2 MB)
• 4. GitHub Repos.url (0.1 KB)
• 5. Get API Key.url (0.1 KB)
• 5. Get a Claude API key.mp4 (15.7 MB)
• 5. Get started with Claude.url (0.1 KB)
• 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)
3 - CHAPTER I CONTEXT ENGINEERING FOUNDATIONS
• 11. Chapter presentation.mp4 (7.1 MB)
• 12. Effective context engineering for AI agents.url (0.1 KB)
• 12. What is context engineering.mp4 (22.6 MB)
• 13. Unified and open governance for data and AI.url (0.1 KB)
• 13. Unity Catalog.mp4 (75.5 MB)
• 13. What is Unity Catalog.url (0.1 KB)
• 14. MLflow 3 docs on Databricks.url (0.1 KB)
• 14. MLflow.mp4 (53.6 MB)
• 15. Lakebase Autoscaling overview. Databricks docs.url (0.1 KB)
• 15. Lakebase.mp4 (14.6 MB)
• 15. Postgres compatibility (PG16, params, pg_stat_statements). Databricks docs.url (0.1 KB)
• 15. Synced tables reverse ETL (Delta → Lakebase). Databricks docs.url (0.1 KB)
• 15. What is pgvector (positioning operational vs. lakehouse). Databricks blog.url (0.1 KB)
• 16. Anthropic — Extended thinking.url (0.1 KB)
• 16. Build agent.mp4 (76.6 MB)
• 16. Effective Context Engineering for AI Agents. Anthropic Engineering.url (0.1 KB)
• 17. Drew Breunig — How contexts fail and how to fix them.url (0.1 KB)
• 17. Drew Breunig — How to fix your context.url (0.1 KB)
• 17. Failure modes & context strategies.mp4 (53.1 MB)
• 17. Less is More — dynamic tool selection (Berkeley FCL).url (0.1 KB)
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 (0.1 KB)
• 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 (0.1 KB)
• 24. RAG introduction.mp4 (7.8 MB)
• 25. Build an unstructured data pipeline for RAG.url (0.1 KB)
• 25. RAG workflow.mp4 (89.5 MB)
• 26. Chunking.mp4 (68.3 MB)
• 26. Chunking.url (0.1 KB)
• 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 (0.1 KB)
• 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 (0.1 KB)
• 33. Agent state and memory (Lakebase). Databricks docs.url (0.1 KB)
• 33. Lakebase architecture.mp4 (18.1 MB)
• 34. Agent state and memory (Lakebase). Databricks docs.url (0.1 KB)
• 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 (0.1 KB)
• 36. Short memory agent.mp4 (61.9 MB)
7 - CHAPTER V TOOL DESIGN, MCP & AGENT CONTEXT
• 37. Chapter presentation.mp4 (12.0 MB)
• 38. AI agent Tools.url (0.1 KB)
• 38. Agent tools.mp4 (67.5 MB)
• 38. Model Context Protocol (MCP) on Databricks.url (0.1 KB)
• 39. Create tools.mp4 (112.1 MB)
• 40. Connect GitHub MCP.mp4 (67.6 MB)
• 40. Install an external MCP.url (0.1 KB)
• 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 (0.1 KB)
• 45. OpenAI Compaction.url (0.1 KB)
• 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 (0.1 KB)
• 48. Databricks Supervisor Agent.url (0.1 KB)
• 48. Multi-agent Failure.mp4 (93.8 MB)
• Bonus Resources.txt (0.1 KB)