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SAP AI for Developers, Hands-on Coding Track Training
Glossary of Terms
Glossary of SAP AI for Developers, Hands-on Coding Track terms
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Session 1 - Business AI Foundations and SAP Technology Landscape
Session Video - Business AI Foundations and SAP Technology Landscape (53:57)
Assignment
Quiz
Session 2 - Developer Setup Python AI Foundations and SAP AI Stack
Session Video - Developer Setup Python AI Foundations and SAP AI Stack (51:54)
Assignment
Quiz
Session 3 - Generative AI Hub Prompt Engineering and LLM Integration
Session Video - Generative AI Hub Prompt Engineering and LLM Integration (47:56)
Assignment
Quiz
Session 4 - RAG Pipelines Embeddings and Vector Search on SAP BTP
Session Video - RAG Pipelines Embeddings and Vector Search on SAP BTP (60:01)
Assignment
Quiz
Session 5 - Building and Deploying AI Applications on SAP BTP
Session Video - Building and Deploying AI Applications on SAP BTP (40:53)
Assignment
Quiz
Session 6 - Enterprise Hardening Security Observability and Capstone
Session Video - Enterprise Hardening Security Observability and Capstone (82:38)
Assignment
Quiz
Assessments
Assessment - 1. Developer Setup and SAP AI Stack
Assessment - 2. Python + SAP APIs Foundations
Assessment - 3. SAP Generative AI Hub for Developers
Assessment - 4. RAG Pipelines on SAP BTP
Assessment - 5. Building and Deploying AI Apps on BTP
Assessment - 6. Enterprise Hardening, Evaluation, and Capstone
Assignments
Assignment - 1. Developer Setup and SAP AI Stack
Assignment - 2. Python + SAP APIs Foundations
Assignment - 3. SAP Generative AI Hub for Developers
Assignment - 4. RAG Pipelines on SAP BTP
Assignment - 5. Building and Deploying AI Apps on BTP
Assignment - 6. Enterprise Hardening, Evaluation, and Capstone
Lab Activity
Lab Activity - 1. Set up the local Python environment and starter project
Lab Activity - 2. Configure service credentials and connect to a SAP BTP AI service
Lab Activity - 3. Build a reusable Python client for a sample SAP API
Lab Activity - 4. Fetch and normalize business records into application-ready JSON
Lab Activity - 5. Build a Python prompt service that calls an enterprise LLM
Lab Activity - 6. Implement model switching for the same task across multiple LLMs
Lab Activity - 7. Build a document ingestion script for enterprise PDFs and text files
Lab Activity - 8. Add metadata filtering such as department, region, or process type
Lab Activity - 9. Create endpoints for chat, retrieval, and SAP business data lookup
Lab Activity - 10. Add a simple web interface for question-answer interaction
Lab Activity - 11. Add logging, tracing, and exception handling to the full solution
Lab Activity - 12. Implement guardrails for prompt injection and unsafe outputs
Configuration Guides
SAP Business AI
SAP AI Core
Capstone Projects / Case Studies
Capstone Project - 1. Autonomous Order-to-Cash Exception Resolver via CAP & Document AI
Capstone Project - 2. Clean Core ABAP Modernizer & Remediation MCP Server
Capstone Project - 3. Custom SAP Joule Skills & Agentic Extension on SAP BTP
Capstone Project - 4. Enterprise GenAI Hub Proxy & CostSecurity Guardrail Gateway
Capstone Project - 5. Enterprise RAG Service on SAP BTP Using SAP HANA Cloud Vector Engine
Sample Resumes
Sample Resume - Fresher Junior - SAP AI for Developers, Hands-on Coding Track (0-2 Years)
Sample Resume - Mid-Level AP AI for Developers, Hands-on Coding Track (4-8 Years) (3-5 Years)
Sample Resume - Lead Experienced SAP AI for Developers, Hands-on Coding Track (9+ Years)
Interview Questions
Interview Questions - Set 1
Interview Questions - Set 2
Interview Questions - Set 3
Interview Questions - Set 4
Interview Questions - Set 5
Prepare your Linkedin profile
Linkedin Cheat Sheet
Prepare your Resume
Resume Cheat Sheet
Final Quiz
Test Your Knowledge
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