Generative AI on BTP Visakhapatnam Course Details
SAP Gen AI Online Training in Visakhapatnam (Vizag)
Provider: GreenByte Technologies
Trainer: Bharath (SAP Specialist in BTP, AI Enablement & Enterprise Integrations)
Mode: 100% Online (Live, Instructor-Led) with Labs & Project Mentorship
Why SAP Gen AI, and Why Now?
Generative AI is reshaping how SAP enterprises design user experiences, automate business processes, and unlock value from data that already lives across SAP S/4HANA, BW/4HANA, SAP Datasphere, SuccessFactors, Ariba, and more. From copilots that accelerate finance close, to natural‑language insights on supply chain risk, to automated document processing in procurement—Gen AI is moving from buzzword to bottom‑line impact.
For professionals in Visakhapatnam (Vizag), this is a rare inflection point. The city’s fast‑growing IT ecosystem—spanning the Rushikonda IT hills, fintech startups, and global delivery centers—needs experts who can bridge SAP business processes with modern AI services on SAP Business Technology Platform (BTP). This training is designed to make you that expert: you’ll learn how to build, integrate, and govern Gen AI solutions that are enterprise‑grade, secure, and compliant with SAP standards.
What Makes GreenByte Technologies Different?
Practical, SAP‑first approach: We teach Gen AI inside SAP’s landscape—BTP services, AI Core/AI Launchpad, CAP/RAP, SAP HANA Cloud, Datasphere, SAP Build, and standard connectors—so your work is deployable in real enterprise environments.
Use‑case libraries: You’ll implement high‑value, repeatable scenarios (copilots, document intelligence, chat over enterprise data, predictive assistance) tailored to finance, supply chain, HR, and customer service.
Hands‑on labs: Every module includes guided labs with code, configuration, and step‑by‑step runbooks.
Project mentoring: Build two mini‑projects and one capstone that maps directly to a business case—ideal for portfolios and interviews.
Local & global context: Examples are curated for Vizag’s dominant sectors (manufacturing, shipping/logistics, BFSI, and IT services) yet align with global SAP best practices.
Meet Your Trainer: Bharath
His expertise spans:
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Designing AI‑assisted business processes on SAP BTP
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Building side‑by‑side extensions using CAP and RAP (ABAP Cloud)
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Integrating SAP Datasphere with analytics and LLM‑powered insights
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Applying responsible AI guardrails (security, governance, cost control)
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Coaching teams to productionize prototypes using DevOps, CI/CD, and monitoring
He brings a practitioner’s lens to the classroom—expect practical blueprints, code walkthroughs, and tips that help you avoid common enterprise pitfalls.
Who Should Attend
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SAP Functional Consultants (FICO, MM, SD, PP, HR/SuccessFactors) aiming to add AI capability to their process expertise.
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ABAP & BTP Developers wanting to build LLM‑powered apps, automations, and copilots.
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Data & Analytics Practitioners (Datasphere, SAC, BW/4HANA) who want to enable natural‑language analytics and intelligent insights.
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Solution Architects & Pre‑Sales needing reference architectures and value‑based demos.
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IT Managers & Product Owners responsible for roadmap, governance, and ROI.
Prerequisites (recommended, not mandatory): Basic understanding of SAP modules/processes, familiarity with BTP concepts, and foundational programming (ABAP or Node.js/Java) is helpful. We provide primers for any refreshers you need.
Learning Outcomes
- Build AI‑assisted extensions using CAP (Node/Java) and RAP (ABAP Cloud) with clean architecture.
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Orchestrate models and pipelines using BTP services (including AI Core/AI Launchpad equivalents, data connectivity, and eventing).
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Implement chat over enterprise data using vector stores, embeddings, and retrieval patterns with SAP data sources.
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Build document understanding flows for invoices, POs, resumes, and service tickets.
- Govern AI responsibly: authorization, masking, logging, cost monitoring, and human‑in‑the‑loop.
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Package and deploy to dev/test/prod with CI/CD and quality gates suitable for enterprise environments.
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Present a business‑value case for Gen AI in finance, supply chain, HR, and customer service—with measurable KPIs.