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Career Tracks Intermediate English 1:1 Coaching

AI Automation for SAP HANA Professionals: 1:1 Coaching

Business & Workflow Track · 4 weeks · Private 1:1 · 8 sessions

Designed & taught byDinesh Kushwaha FormatLive 1:1 online
Duration
4 weeks · 8 sessions × 90 min
Schedule
Two sessions a week, scheduled with you
Cohort
Limited 1:1 slots each month
Taught in
English

What you'll walk away with

  • Clear Claude prompts and reusable task instructions
  • An agent with a defined purpose, boundaries and approved tools
  • A checked analysis of an authorized SAP HANA export
  • Business summaries, reports and a dashboard prototype
  • Scheduled and event-triggered workflows with approval and exception steps
  • A repeat of the analysis with authorized HANA data through MCP
  • A clear account of your workflow's data access, review controls and limits

Who it's for

SAP HANA professionals in reporting, operations, analytics, inventory, sales or procurement who want to apply AI to business data and processes.

Curriculum

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.

Four-week learning path

Week 1 · Claude before SAP

Explore Claude on the web and desktop, and learn to get reliable, checkable answers.

  • Prompt structure, context and task instructions
  • Evidence checks, and asking Claude to flag uncertainty
  • Reusable prompts, instruction packs and Skills where available

Your output: A reusable Claude guide for one business task.

Week 2 · Agents and workflow automation

Design an agent and its workflow on sample business data, before connecting SAP.

  • An agent’s purpose, boundaries and approved tools
  • Triggers, schedules, events and webhooks
  • Branches, exceptions, retries, approvals and run history

Your output: An agent and workflow blueprint, designed before connecting SAP.

Week 3 · Analyze exported HANA data

Work with an authorized CSV or Excel export and turn it into business insight.

  • Interpret fields and check data quality
  • Identify trends and exceptions, checked against the source data
  • Create a summary, a report and a dashboard prototype

Your output: An analysis and dashboard prototype based on exported HANA data.

Week 4 · Connect HANA through MCP

Repeat the same workflow with data retrieved through a prepared, authorized MCP connection.

  • Query authorized HANA data through MCP
  • Repeat the analysis and reporting workflow
  • Present the results, access limits and review controls

Your output: A connected HANA insight workflow and walkthrough.

Capstone · HANA Insight & Reporting Assistant

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.

What you’ll learn

  • Write clear Claude prompts and reusable task instructions.
  • Understand the difference between an assistant, an AI agent and an automated workflow.
  • Design an agent’s purpose, boundaries and approved tools.
  • Analyze an authorized SAP HANA data export and check findings against its source data.
  • Create business summaries, reports and dashboard prototypes.
  • Plan scheduled and event-triggered workflows, including approval and exception steps.
  • Use a prepared MCP connection to repeat an analysis with authorized HANA data.
  • Explain the data access, review controls and limitations of your proposed workflow.

Course format

  • Four weeks, eight private online sessions
  • Two 90-minute sessions per week, scheduled with you
  • Private instruction and project guidance on your own use case
  • One practical output each week
  • Final capstone walkthrough

Choose your format

  • Live batch: ₹9,999 per learner (regular ₹14,999). Batches run with a minimum of five learners; the academy confirms the schedule and start date.
  • One-to-one coaching: ₹24,999 (regular ₹34,999). Private instruction and project guidance, scheduled individually.

Prefer learning in a group? See the Live Batch format →

Course fees are in INR. Third-party subscriptions and software usage may be extra.

Who this course is for

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.

Prerequisites

  • SAP HANA experience is assumed; HANA fundamentals are not taught.
  • Familiarity with at least one business process is helpful.
  • Bring an authorized CSV or Excel export, or use the provided sample data.
  • Use company data only when your organization has approved that use.

Software and access

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 paid plans or API usage, if needed for the features or setup you choose.
  • SAP HANA access beyond an eligible trial or free tier.
  • Any paid workflow platform, business-tool connector, cloud hosting or dashboard hosting.

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.

Important course note

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.

Frequently asked questions

Do I need to learn SAP HANA first?

No. This track is designed for learners who already have SAP HANA experience.

Will I build an AI agent?

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.

Will the course automatically change data in SAP?

No. The learning workflow focuses on analysis, reporting and recommendations. Consequential actions are presented for human review.

What if I cannot use a live SAP environment?

You can complete the core data analysis exercises with sample data. Live HANA access is subject to your account and your organization’s permissions.

Are Claude or SAP subscriptions included?

No. Course tuition covers the training and course materials described above. Third-party subscriptions, API usage and paid infrastructure are separate.

Tools & technologies

ClaudeClaude ProjectsSkillsAI agentsMCPSAP HANAExcel/CSVWorkflow automationDashboards

Your instructor

Dinesh Kushwaha

Dinesh Kushwaha

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.

Read Dinesh's story
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