Learn to Build Retrieval Agents in 120 Minutes
Kickstart your journey into generative AI with the new โBuilding Retrieval Agents on Databricksโ course. Itโs the first in the Generative AI Engineering with Databricks series. Learn to design and deploy retrieval-augmented generation (RAG) agents on the Databricks Data Intelligence Platform through guided, self-paced training.
Please note: This course was previously called โGenerative AI Solution Development.โ
What youโll learn:
- RAG fundamentals: Prompt and context engineering for agentic systems.
- Data workflows: Parse, chunk, and transform documents for retrieval.
- Vector search: Build embedding and retrieval pipelines with Mosaic AI Vector Search.
- Observability: Log, trace, and debug agents using MLflow 3.0.
- Agent design: Create intelligent assistants with Agent Bricks.
New updates include Ai_parse_document, LangChain integration with Vector Search, and Agent Bricks for knowledge assistants.
Course highlights:
- Duration: 2 hours
- Skill level: Associate
- Cost: Free
- Language: English
- Includes PDF-based slides and demo videos for self-paced learning.
Enroll Now and start building your first retrieval agent today!
Earn your completion certificate and add it to your LinkedIn profile or resume.
Over to our Community:
How are you using retrieval-augmented generation (RAG) in your projects? Share your experiences and favorite learnings in the comments below!
