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.