Technical Business Analyst Course

• Data retrieval, joins, aggregations and practical data exploration.
• Tables, simple diagrams, and everyday examples.
• Explain what a table, row, and column means
• Describe why repeated data creates problems
• Read a simple data diagram with confidence
• Choose the right data approach for a simple use case
• Design a simple wishlist for an online store

• Explain the simple path of a user action
• Describe where delays or failures can happen
• Spot the most common missing requirement in a workflow
• Ask better questions about retries and duplicate actions
• Review a simple bug and suggest a fix

Tools - OpenAPI (Swagger) and Postman (Everything using these two tools)

• Read a simple request and response example
• Write a simple contract for a basic integration
• Choose between a quick response and a later message
• Find missing details in a real integration example
• Read JSON and XML payload examples for BA field mapping and validation

This session includes a hands-on lab using a free testing tool (Postman and OpenAPI)

• Real failure scenarios, a mock response walkthrough,
• A practical design framework that applies to any feature an organization wants to build.
• The focus is on BAs learning to think about trade-offs in system design.
• Make simple requests in a testing tool
• See what happens when a request fails
• Create a basic mock response for a feature
• Use a simple design method for a new feature

• Explain what AI is in simple, practical words
• Distinguish AI, generative AI, and AI agents at a high level
• Use a prompt structure with context, constraints, and output format
• Spot weak AI ideas that need more thought
• Apply responsible AI requirements: validate outputs, track assumptions, and protect sensitive data
• Understand where VS Code, GitHub Copilot Agent, and Atlassian MCP fit
• Reusable Jira sample feature packs.
• Guided prompts and classroom exercise flow.

• Follow a one-feature Jira documentation operating model: BRD -> FRD -> SRS -> Data Mapping -> ERD
• Keep one feature fully traceable from business goal to technical detail
• Use AI and Jira MCP support while keeping BA review in control
• Convert rough notes into refinement-ready Jira issues
• Apply a clear quality checklist before handoff

• Build a simple feature package for one real example
• Review a partner's work with helpful feedback
• Use the 5 BA questions in future work
• Leave with a clear 15-day action plan
• Write down one improvement to make in the next few days