Corporate Programs

Enterprise AI Upskilling &
GenAI Engineering Programs

Structured, hands-on AI training programs designed for engineering teams, tech leaders, and organizations embarking on AI transformation. From foundations to advanced production AI engineering.

3000+ Developers Trained
Flexible Delivery Formats
Certificate of Completion

Training Catalog

AI Training Programs

Generative AI for Developers

Foundation
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Comprehensive introduction to GenAI for software developers. Covers LLMs, prompt engineering, API integration, and building AI-powered applications from scratch.

Software Developers, Full-Stack Engineers
2–3 Days
Instructor-led + Hands-on Labs
OpenAI APILangChainPythonFastAPI

Enterprise RAG Systems

Advanced
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Deep-dive into Retrieval-Augmented Generation architectures. Learn to design, build, and deploy enterprise-grade knowledge systems using vector databases and LLMs.

Senior Engineers, Architects
3 Days
Workshop + Architecture Reviews
PineconeWeaviateLlamaIndexOpenAI

AI Agents & Multi-Agent Systems

Advanced
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Master the design and implementation of autonomous AI agents and multi-agent orchestration systems for complex enterprise workflows.

Engineers, AI Teams
2–3 Days
Project-based Learning
LangGraphAutoGenCrewAIOpenAI

Prompt Engineering Masterclass

Core Skill
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From basic prompting to advanced techniques: chain-of-thought, few-shot learning, prompt chaining, and systematic prompt optimization for enterprise use cases.

Developers, Product Managers, Analysts
1 Day
Intensive Workshop
GPT-4ClaudeGeminiPromptFlow

AI Architecture for Tech Leaders

Leadership
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Strategic and technical overview of enterprise AI architecture. Designed for CTOs, tech leads, and architects making AI investment and design decisions.

CTOs, Tech Leads, Solution Architects
1–2 Days
Executive Workshop
System Design FrameworksArchitecture PatternsROI Models

AI Product Engineering

Engineering
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End-to-end product engineering for AI-first products — from idea to production. Covers AI product design, evaluation loops, user feedback, and iterative improvement.

Product Engineers, Tech Leads
3 Days
Hands-on + Case Studies
LangSmithStreamlitFastAPIDocker

AI Transformation Workshops

Strategy
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Organizational-level workshops to align leadership and engineering teams on AI adoption strategy, capability building, and transformation roadmap.

Leadership Teams, L&D, HR
1 Day
Facilitated Workshop
FrameworksCase StudiesRoadmap Templates

Corporate GenAI Bootcamps

Corporate
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Intensive multi-day bootcamps for large engineering cohorts. Covers the full GenAI engineering stack with industry-relevant projects and mentored learning.

Engineering Teams (20–500+)
3–5 Days
Bootcamp Format
Full GenAI StackCloud AI ServicesProduction Tools
Flagship Program

5-Day Intensive
GenAI Engineering Program

A comprehensive, hands-on program that takes engineers from AI foundations to building and deploying production-grade GenAI systems. The most complete corporate AI engineering program available.

Day 1

AI Foundations & LLM Architecture

  • Transformer architecture
  • How LLMs work
  • OpenAI & Claude APIs
  • Token economics
  • Model selection
Day 2

Prompt Engineering & Multimodal AI

  • Advanced prompt patterns
  • Chain-of-thought
  • Few-shot learning
  • Vision models
  • Multimodal pipelines
Day 3

RAG Systems & Vector Databases

  • RAG architecture
  • Embedding models
  • Vector DB setup
  • Retrieval strategies
  • Hybrid search
Day 4

AI Agents & Fine-Tuning

  • Agent design patterns
  • LangGraph / AutoGen
  • Fine-tuning strategies
  • PEFT / LoRA
  • Tool use
Day 5

Deployment, Safety & Capstone

  • LLMOps & monitoring
  • AI safety practices
  • Responsible AI & AI Governance
  • Production deployment
  • Evaluation pipelines
  • Capstone project
Duration5 Full Days (40+ Hours)
FormatOn-site / Virtual / Hybrid
Team Size10–500+ Engineers
Hands-on Labs10+ Production Projects
CertificationCertificate of Completion
Post-program30-day Q&A Support

Corporate Booking

Ready to Upskill Your Team?

All training programs are customized to your team's current AI maturity level, technology stack, and business context. Reach out to discuss your requirements.

Custom curriculum design
On-site or virtual delivery
Team size: 10 to 500+
Pre-training assessment
Post-program support
Certificate of completion