# 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.