# AI & Machine Learning on Databricks ## Enterprise AI Platform Training Comprehensive 8-week program to build production-ready AI/ML systems on Databricks. Train your teams on MLOps, Generative AI, and enterprise AI deployment. ### Duration 8 weeks ### Format 3 delivery options ### Team Size 15-50 participants ### Investment Custom Quote Volume discounts available ## See What Your Team Will Build Watch a preview of the curriculum and hands-on labs ## 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** ITVersity Certificate of Completion In partnership with Databricks ### 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: - Build end-to-end data pipelines with Delta Lake for ML workloads - Develop and deploy ML models with MLflow experiment tracking - Implement Generative AI applications with LLMs and RAG - Establish MLOps practices for production AI systems - Configure Unity Catalog for data governance and security - Monitor and optimize production ML models for performance - Apply enterprise AI best practices and architectural patterns - Deploy scalable, cost-optimized AI solutions on Databricks ## 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: Introduction to AI & Databricks Platform - Week 1 #### Module 2: Data Engineering for AI/ML - Week 2 #### Module 3: Machine Learning with MLflow - Weeks 3-4 #### Module 4: Generative AI & Large Language Models - Weeks 5-6 #### Module 5: MLOps & Production Deployment - Week 7 #### Module 6: Enterprise AI Use Cases & Best Practices - Week 8 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: - Databricks - Apache Spark - Delta Lake - MLflow - Unity Catalog - Python - SQL - LLMs (OpenAI, Llama, Mistral) - Vector Search - Model Serving ## Flexible Delivery Options Choose the training format that works best for your team's schedule, location, and learning preferences. Total Duration: 8 weeks 32h Live Instruction 48h 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 - 32 hours of live instructor-led training - Hands-on labs with Databricks workspace access - Real-world projects and use case implementations - Course materials and code samples - Session recordings (online/hybrid only) - 30 days post-training support - Certificate of Completion - Access to private learning community ## Who Should Take This Training? This program is designed for teams and professionals looking to build enterprise-grade AI capabilities. ### Ideal For - Data Engineers transitioning to AI/ML - Data Scientists seeking production deployment skills - ML Engineers building enterprise AI systems - Analytics Engineers implementing AI features - Solutions Architects designing AI platforms - Engineering Managers leading AI initiatives ### Prerequisites - Basic Python programming (functions, loops, data structures) - SQL fundamentals (SELECT, JOIN, aggregations) - Understanding of data concepts (databases, ETL, data modeling) - Familiarity with cloud platforms (AWS/Azure/GCP basics) - Optional: Basic ML concepts helpful but not required 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 - Financial Services - Healthcare - Retail & E-commerce - Manufacturing - Telecommunications - Media & Entertainment ## Real Results from Real Teams ### TechCorp Solutions **Challenge**: Inconsistent ML workflows, manual deployment processes, and lack of standardization across projects. **Solution**: Implemented comprehensive AI on Databricks training covering MLOps, MLflow, and production deployment patterns. **Results**: - 40% faster Model Deployment Time - 35% increase in Team Productivity - 25% improvement in Model Quality - $200K annually in Cost Savings ### Global Finance Inc **Challenge**: Needed real-time fraud detection allowing for 24-hour latency of transactions. **Solution**: Trained on streaming ML and built production-ready fraud detection pipeline. **Results**: - 99.9% reduction in Detection Latency - $5M+ saved in Fraud Prevention - 45% reduction in False Positives - 99.95% System Uptime ### HealthTech Innovations **Challenge**: Wanted to leverage AI for personalized patient care. **Solution**: Customized training program focused on healthcare-specific AI use cases. **Results**: - 30% improvement in Patient Outcomes - 70% faster Time to Insights - 100% Compliance - 4 hours/week increase in Provider Efficiency ## Learn From Engineers Who've Built AI at Scale ### Durga Gadiraju **Lead Instructor, AI & Data Engineering** With extensive Databricks expertise and 15+ years of teaching experience. #### Highlights: - 20+ years in Data Engineering, Cloud & AI - Databricks Certified Solutions Architect - 15+ years of teaching; mentored thousands of engineers - Delivered AI/ML initiatives for Fortune 500 clients ## Got Questions? We've Got Answers Find answers to common questions about our corporate training programs. ## Ready to Transform Your Team with AI? Let's discuss how we can customize the AI & Machine Learning on Databricks program for your organization's specific goals, tech stack, and team size.