Generative AI & RAG for Enterprise

Building Production-Grade RAG Applications

Master Retrieval-Augmented Generation (RAG) to build context-aware AI agents. Learn to integrate LLMs with your enterprise data using Vector Databases, LangChain, and advanced retrieval strategies.

Duration

6 weeks

Format

3 delivery options

Team Size

10-30 participants

Investment

Custom Quote

Volume discounts available

Why This Training Transforms Teams

Designed specifically for enterprise teams, this program delivers measurable results through practical, production-focused learning.

Production-Ready Skills

Move beyond theory with hands-on projects that mirror real-world enterprise scenarios. Your team builds solutions they can deploy immediately.

Tailored to Your Needs

Fully customizable curriculum aligned with your tech stack, business goals, and team skill levels.

Measurable ROI

Track skill development with benchmarked assessments, project evaluations, and business impact reports.

Industry Recognized

Professional Credential

Certified Generative AI Engineer

In partnership with ITVersity

Assessment Framework

How we measure success

  • Pre-Training Assessment: Identify skill gaps and customize the learning path.
  • Capstone Project Evaluation: Instructor review of code quality and architecture.
  • Final Validation: Comprehensive exam to certify skill acquisition.

Your Team Will Be Able To:

  • Architect and deploy scalable RAG applications for enterprise use cases
  • Implement advanced retrieval strategies like Hybrid Search and Re-ranking
  • Build autonomous agents that can interact with external APIs and Databases
  • Evaluate LLM performance using automated metrics (RAGAS)
  • Secure AI applications against prompt injection and data leakage
  • Optimize vector storage and retrieval costs
  • Integrate multi-modal data (text, tables, images) into search pipelines
  • Operationalize LLM apps with proper logging, tracing, and monitoring

Training Curriculum

What Your Team Will Learn

A comprehensive, hands-on curriculum designed to build production-ready skills through real-world projects and expert guidance.

Module 1: LLM Fundamentals & Prompt Engineering - Week 1

Module 2: Vector Databases & Embeddings - Week 2

Module 3: Building RAG Pipelines - Week 3

Module 4: Advanced Retrieval Techniques - Week 4

Module 5: Agents & Tool Use - Week 5

Module 6: Deployment & Productionization - Week 6

All modules include hands-on labs, real-world exercises, and expert code reviews

Your Complete AI Agent Tech Stack

Industry-standard tools you'll master during the cohort:

  • OpenAI GPT-4
  • LangChain
  • LlamaIndex
  • Pinecone / Weaviate
  • Docker
  • Python
  • FastAPI
  • RAGAS
  • LangSmith
  • HuggingFace

Flexible Delivery Options

Choose the training format that works best for your team's schedule, location, and learning preferences.

Total Duration: 6 weeks

  • 24h Live Instruction
  • 36h Hands-on Labs
  • 2 Sessions / Week
  • Included Capstone Projects

Live Online

Interactive instructor-led sessions via video conference. Perfect for distributed teams.

  • Real-time Q&A with instructors
  • Breakout rooms for group work
  • Screen sharing and live coding
  • Recorded sessions for review

On-Site Training

Instructors come to your location for immersive, in-person training.

  • Face-to-face instruction
  • Team bonding and collaboration
  • Customized to your environment
  • Direct access to equipment

Hybrid Format

Best of both worlds—combine online and in-person sessions.

  • Flexible attendance options
  • Mix of remote and on-site
  • Accommodates different schedules
  • Recorded sessions available

What's Included in Every Training

  • 24 hours of live instructor-led training
  • Access to vector database sandbox environments
  • Code templates for RAG pipelines and Agents
  • Course materials and reference architectures
  • Session recordings
  • 30 days post-training support
  • Certificate of Completion
  • Private discord channel access

Who Should Take This Training?

This program is designed for teams and professionals looking to build enterprise-grade AI capabilities.

Ideal For

  • Senior Software Engineers
  • Backend Developers learning AI
  • AI/ML Engineers
  • Technical Architects
  • Product Managers for AI Tools

Prerequisites

  • Strong Python programming skills
  • Basic understanding of APIs (REST/GraphQL)
  • Familiarity with Docker/Containerization
  • Basic knowledge of NLP concepts is helpful

Don't meet all prerequisites? We can customize the curriculum to include foundational modules.

Proven Success Across Industries

This training has been successfully delivered to teams in:

  • Technology
  • Legal & Compliance
  • Healthcare
  • Financial Services
  • Customer Support
  • Education

Learn From Engineers Who've Built AI at Scale

Durga Gadiraju

Lead Instructor, AI & Data Engineering

He specializes in simplifying complex architectural patterns and has built multiple production agents for financial and educational sectors.

Highlights:

  • 20+ years in Tech
  • Built production RAG systems for FinTech
  • Expert in LangChain & LlamaIndex
  • 15+ years of teaching experience

Frequently Asked Questions

Got Questions? We've Got Answers

Find answers to common questions about our corporate training programs.

  • Do we need our own data for the workshops?
  • Is this course relevant for on-premise LLM deployment?
  • What is the difference between this and the Databricks course?

Still Have Questions?

Our team is here to help you find the perfect training solution for your organization.

Ready to Transform Your Team with AI?

Let's discuss how we can customize the Generative AI & RAG for Enterprise program for your organization's specific goals, tech stack, and team size.

The Next Steps:

  1. Discovery Chat: A brief discussion to understand your team's current skill gaps and desired outcomes.
  2. Tailored Proposal: We design a custom curriculum, timeline, and pricing model fitting your budget.
  3. Launch Training: We handle onboarding and logistics, so your team can start learning immediately.