AI Application Prototyping with Coding Agents
From Idea to Working Application — Build Faster with AI Coding Agents.
- 2 Weeks | 4 Instructor-Led Live Zoom Sessions | Tuesdays & Thursdays | 8:00–9:00 PM IST
- Enrollment Open — Starts 8 October 2026
Business & Workflow Track · 4 weeks · Private 1:1 · 8 sessions
SAP HANA professionals in reporting, operations, analytics, inventory, sales or procurement who want to apply AI to business data and processes.
You already understand SAP HANA. This private one-to-one track helps you build on that expertise with Claude, AI agents, MCP connections, workflow automation and business dashboards, planned around your own business process and data.
Start by learning how to work effectively with Claude. Then use exported HANA data to create analysis, reports and dashboard prototypes. Finally, explore how Claude can access authorized HANA data through a prepared MCP connection and repeat the same business workflow. The course focuses on business use cases and workflow design; it does not reteach SAP HANA fundamentals.
Explore Claude on the web and desktop, and learn to get reliable, checkable answers.
Your output: A reusable Claude guide for one business task.
Design an agent and its workflow on sample business data, before connecting SAP.
Your output: An agent and workflow blueprint, designed before connecting SAP.
Work with an authorized CSV or Excel export and turn it into business insight.
Your output: An analysis and dashboard prototype based on exported HANA data.
Repeat the same workflow with data retrieved through a prepared, authorized MCP connection.
Your output: A connected HANA insight workflow and walkthrough.
Build an assistant for a business use case such as sales performance, inventory exceptions or procurement review. It brings together Claude instructions, a business workflow, data analysis, a report and a dashboard prototype. Consequential actions are prepared for human review; they are not executed automatically.
Capstone deliverables: Business problem brief, reusable Claude instructions, workflow map, analysis, report, dashboard prototype, trigger and approval design, and a final walkthrough.
Prefer learning in a group? See the Live Batch format →
Course fees are in INR. Third-party subscriptions and software usage may be extra.
SAP HANA professionals who want to apply AI to business data and processes, including people working with reporting, operations, analytics, inventory, sales or procurement workflows.
Included: live instruction, learning materials, guided labs, templates, sample or synthetic data, a prepared MCP connection for guided exercises, and capstone review. These may need separate accounts, subscriptions or payment:
Claude, SAP trial and free-tier access vary by plan, region and eligibility. A sample-data path is available if live HANA access is not. The academy does not guarantee third-party account access.
This is practical training from Dinesh AI Academy. It is not an official SAP certification and does not imply SAP endorsement. The capstone is a training prototype or business workflow design, not a production deployment.
No. This track is designed for learners who already have SAP HANA experience.
You will design a bounded agent and workflow for a business problem, then use a prepared MCP connection to explore how Claude can work with authorized HANA data.
No. The learning workflow focuses on analysis, reporting and recommendations. Consequential actions are presented for human review.
You can complete the core data analysis exercises with sample data. Live HANA access is subject to your account and your organization’s permissions.
No. Course tuition covers the training and course materials described above. Third-party subscriptions, API usage and paid infrastructure are separate.
Founder, Dinesh AI Academy · Principal Software Engineer & Application Architect
Dinesh has spent 18+ years architecting and delivering 50+ enterprise-scale platforms and has coached more than 1,000 engineers. He teaches AI the way he builds it: practical, secure, and focused on what works in production.
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