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(6 Ratings)

Gen AI for Business & SAP

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About Course

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Overview

Foundation & Development Setup (Days 0-2)

  • Professional development environment setup including VS Code, Python, Git integration, BTP Services and Database(s)
  • Comprehensive Python programming with focus on enterprise applications
  • Python Project: Supply Chain Management automation with advanced delivery note PDF processing
  • Overview: Industry-standard best practices for SAP development

AI/ML Core Projects (Days 3-4)

  • Predictive Plant Maintenance: Custom machine learning model building for predictive asset management
  • FAQ Chatbot: Building a chatbot using NLP and Deploy to BTP

Advanced GenAI Implementation with Frameworks (Days 5-9)

  • GenAI Playground: Deep Learning – Transformer Architecture – LLM Models – Playground – Framework (Langchain) – Leaderboard
  • Langchain ecosystem implementation with practical proof of concepts
  • GraphRAG – Knowledge Graph
  • Agentic Framework – Agents with tools
  • SAP HANA Cloud integration with AI agents
  • Custom LLM applications using SAP BTP Gen AI Hub
  • Retrieval-Augmented Generation (RAG) for enterprise use cases with BTP Gen AI Hub
  • Business application development with BTP CAP LLM plugins
  • MS Teams as channel for any GenAI application

Enterprise Projects (Days 10-17)

  • Automated vendor invoice processing system for Accounts Payable in SAP
  • Secure enterprise chat applications for Enterprise Legal Documents
  • Financial data analysis with enhanced security protocols
  • Dynamic OData API for S/4 HANA Sales Order Creation and Status Check
  • Intelligent database search engine with data queries across SAP HANA and PostgreSQL databases.
  • AI-driven vendor recommendation systems
  • Intelligent recruitment platform
  • Implementation Best Practices
  • Security & Governance Framework
  • Reference Architectures
Show More

What Will You Learn?

  • Foundation & Development Setup
  • Professional development environment, SAP BTP platform, Python programming, and database integration
  • AI/ML Core Technologies
  • Deep Learning, Neural Networks, Large Language Models (LLMs), Embedding Models, and Transformer Architecture
  • Advanced GenAI Frameworks
  • Langchain ecosystem, FastAPI development, RAG systems, AI Agents, and GraphRAG implementation
  • Database & Vector Integration
  • SAP HANA Cloud, vector databases, multi-database connectivity, and similarity search solutions
  • Enterprise AI Applications
  • Automated invoice processing, legal document chat, financial analysis, and intelligent search engines
  • Business Process Automation
  • Vendor recommendation systems, intelligent recruitment platforms, and S/4HANA AI integration
  • SAP BTP Platform Mastery
  • BTP GenAI Hub orchestration, Cloud Foundry deployment, and microservices architecture
  • Security & Governance
  • Enterprise AI security frameworks, governance policies, and compliance implementation
  • Private AI Solutions
  • Private LLM deployment (Ollama), secure enterprise chat, and on-premises AI systems
  • Reference Architectures
  • Enterprise AI design patterns, best practices, and scalable deployment strategies

Course Content

DEMO

  • DEMO: Enterprise Gen AI & SAP
    21:43

DAY00: 🎬 Intro – env Setup for python – Git – Learning Path

DAY01: Python Hands-on

DAY02: 𝄃𝄃𝄂𝄂𝄀𝄁𝄃𝄂𝄂𝄃 First python Project – SCM Delivery Note pdf generation with Barcode Scan
Tech Stack: Python PostgreSQL DB Streamlit

DAY03: 🚥 Machine Learning Project – Predictive Plant Maintenance
Tech Stack: - Python - Scikit-Learn ML Algorithm - LogisticRegression Fast API - Streamlit

DAY04: 🤖 NLP Project: Build a FAQ chatbot and Deploy it in SAP BTP
NLP - Build a Chatbot (SAP FAQ) Tech Stack: - Tokenization (python NLTK) - Lemmatization (python NLTK) - Vectorization (TF-IDF) - Similarity Algo (Cosign Similarity) - Python - Streamlit - Deployed in SAP BTP

DAY05: ⚛ Neural Network & LLM
Neural Network - LLM - Transformer Introduction: GPT, LLAMA, Hugging Face

DAY06: 🦜Langchain Ecosystem with 3 Hands-on PoC
Langchain - Langchain-Core - Langchain-Community - Langserve - Langsmith - Hands-On: LLM Model Vs. Chat Model - Hands-On: Chatbot with Domain Specific Instruction - Hands-On: Expose App as API with LangServe

DAY07: 🦜Langchain Agent building with SAP HANA Cloud – Memory – few-short-learnings

DAY08: 💎 Build LLM Application with SAP BTP GenAI Hub
SAP BTP Gen AI Hub SAP BTP AI Core AI Launchpad

DAY09: 🧊 Build RAG usecase with SAP BTP GenAI Hub

DAY10: 🧢 Build Application with BTP CAP LLM Plugins and GenAI Hub

DAY11: 📝 Project – Duplicate Invoice Reconciliation in AP Process with Vision & Language model

DAY12: 📚 Project – Enterprise Chat Application with data security

DAY13: 💹 Project – Finance data analysis with data security

DAY14: ⚡Project – Dynamic OData API for SO Status and Creation [OTC]

DAY15: 🛢️ Project – Intelligent DB Search Engine

DAY16: 💒 Project – Vendor Recommendation System

DAY17: 🛒 Project – Customer Segmentation & Product Recommendation Engine

DAY18: 🤝 Project – AI Driven Recruitment system (Scan and Evaluate resumes, optimize JD)

Student Ratings & Reviews

5.0
Total 6 Ratings
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KK
kiran kumar
11 months ago
This course 'Gen AI for Business & SAP' is very well structured. Instructor Partha has great knowledge and experience in implementing GEN AI and he kept his best efforts in designing this course for better understanding the complex wide range various topics on GEN AI. Professionals who don't have any knowledge and exp. in GEN AI can also easily understand and implement GEN AI applications.
Creating real time use cases step-by-step in these sessions will boost confidence of reaching to expert level in implementing GEN AI applications in SAP & Non SAP environments. This course is best fit for professionals who are seeking their carrier in GEN AI.
IG
Indan Ghosh
1 year ago
Excellent course. This course is well structured, and the Course is divided into several modules starting from basics of programming (in Python) to deep level where Partha has explained different concept of Tokenization, Vectorization, Lemmatization, neural networks, Lang chain which is required building strong base if anyone enters into the world of AI. He has also demonstrated small projects where these concepts can be used. He has also covered the usage of AI concept in SAP world by using SAP BTP AI services. This course definitely would be the starting point if anyone wants to enter into the AI world. Thanks, Partha, for such a Nice well-structured course.
SS
Shiv Shankar
1 year ago
This course is a well-organized and informative resource for professionals seeking to unlock the potential of GenAI within their organizations. The instructor, Partha, excels at making complex concepts clear and engaging, and is readily available to answer questions throughout and even after the course. What truly sets this course apart is Partha's creation and walkthrough of real-world projects for each concept, providing a fantastic blend of theory and practical application to empower you to implement this powerful technology. Live, hands-on training delves into a wide range of topics, including SAP AI services and real-world GenAI applications. I highly recommend this course to anyone interested in exploring GenAI and building applications for business use cases in both SAP and non-SAP environments.
K
kaustavsap2
1 year ago
Partha made a structured phased learning approach that effectively conveys complex Generative AI concepts. The course content is exceptionally well-organized and thoughtfully designed, ensuring a seamless progression from foundational to advanced topics. Each module combines theoretical lectures with practical hands-on sessions, allowing students to apply their knowledge in real-world scenarios using SAP or other environments. Use cases from industry settings enrich the learning experience, providing valuable insights into the practical applications of Generative AI.
K
kvvsatyasunil
1 year ago
The course content was exceptionally well-structured, covering a wide range of Generative AI topics. It appeared to be exceptionally well-organized and thoughtfully designed. The structured, phased learning approach was particularly commendable for effectively conveying complex Gen AI related concepts. The inclusion of use cases and practical hands-on projects helped bridge the gap between theoretical knowledge and real-world scenarios with SAP / Other environments.
NP
Nagaphani Panuganti
1 year ago
Partha's Gen AI course offers a solid foundation with clear building blocks and practical mini-projects. It fosters collaborative learning and equips participants with essential skills for exploring Gen AI in SAP World.

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