01 / FOUNDATIONS
Enterprise AI & GenAI Foundations
Core AI/GenAI concepts, practical use cases, responsible adoption and effective usage patterns for technical and cross-functional audiences.
Corporate Training · Practical Enterprise AI
Build AI capability that translates into engineering decisions.
Instructor-led AI, Generative AI, Enterprise RAG and Agentic AI learning for organizations that want teams to understand, design and evaluate real AI solutions—not just learn terminology.
Training for teams
From awareness to architecture.
Programs scoped to participant roles and organizational priorities.
Capability areas
Training designed around your team’s AI goals
Choose a focused program or combine modules into a customized learning track.
02 / ENGINEERING
RAG & AI Application Engineering
Retrieval pipelines, embeddings, vector databases, access-aware knowledge systems, grounding and evaluation.
03 / AGENTIC AI
AI Agents & Agentic Workflows
Tool integration, state, orchestration, human approval, LangGraph-style workflows and enterprise agent design decisions.
04 / ARCHITECTURE
Enterprise AI Architecture & Readiness
Build-vs-buy, model selection, security boundaries, observability, evaluation, cost, latency and production trade-offs.
DevelopersTech LeadsSolution ArchitectsEngineering ManagersTechnical TeamsMixed Audiences (by scope)
Delivery approach
Not a one-size-fits-all course.
Every engagement starts with the participant profile, business context and expected outcomes. Scope, labs, platform access and any cloud or software licensing are agreed before delivery.
- Audience and skill-level assessment
- Modular curriculum aligned to outcomes
- Illustrative enterprise scenarios and demonstrations
- Technical architecture exercises where suitable
- Feedback and learning-outcome review
Potential formats
Choose a format that suits your team.
Focused workshops
Short, topic-specific sessions for a targeted outcome.
Custom multi-session programs
Sequenced learning for a defined audience, with suitable demonstrations, assessments and applied scenarios.
AI architecture clinics
Scenario-led discussions on AI solution design and engineering trade-offs.
Practitioner-led
Led by enterprise technology experience
Founded by Bhartendu Sharma, with 17+ years in enterprise technology and hands-on work in AI/ML, RAG, GenAI applications, AI agents and architecture-led technical learning. Case studies and demonstrations are illustrative unless a specific client engagement is identified.
Begin a training conversation
Tell us what capability your team needs to build.
Share your target audience, team size, technology focus, delivery preference, tentative timeline and any lab/security requirements. We’ll respond with scope options before a formal proposal.
info@beets.academy