Hands-On Learning

Training
Workshops

Master cutting-edge AI technologies through expert-led, hands-on workshops

Expert-Led AI Workshops

Go beyond theory — build real AI applications with guidance from industry practitioners

Hands-on
Code alongside experts using real datasets, live APIs, and production-grade tools — not toy examples
Practitioners
Instructors who build AI at scale — not academics teaching from textbooks
Real projects
Work on actual use cases and deployable solutions you can add to your professional portfolio
Seats
One workshop comes with the Premium Delegate Pass (₹14,999 + GST) and the VIP Pass (₹19,999 + GST). Seats are limited and go first come, first served: you choose yours in the app as soon as you have paid
Certificate
Earn a completion certificate from Aegis School of Data Science & AI on every workshop

Featured Sessions

For the leaders deciding where AI goes, and the engineers who build it

Dr. Vinay Kulkarni Dr. Vinay Kulkarni Adjunct Faculty, IIT Bombay Director, Aegis School of Data Science & AI
For CXOs

Data Science to Agentic AI: A CXO’s Guide to Strategic Decision-Making

As organizations move from Data Science and Machine Learning to Generative AI and Agentic AI, CXOs face a critical challenge: identifying the right business problems, selecting high-value AI use cases, evaluating pilot outcomes, and scaling successful solutions into production.

This session gives business and technology leaders a practical framework for navigating the AI landscape, making informed technology and investment decisions, and turning AI opportunities into measurable business outcomes.

What the session covers

  • Identifying the right business problems: where AI can address meaningful business challenges and create measurable value.
  • Selecting and prioritizing AI use cases: when to use Data Science, Machine Learning, Generative AI or Agentic AI, based on business needs, feasibility and risk.
  • Designing and evaluating AI pilots: defining success metrics, establishing baselines, and evaluating technical performance and business impact.
  • Moving from pilot to production: assessing readiness for enterprise deployment, including integration, security, governance, scalability and operational reliability.
  • Scaling AI for business impact: a roadmap to prioritize investments, scale successful solutions, and realize sustained business value.
Key takeaway: a practical decision-making framework for CXOs to move from AI opportunities and pilot projects to reliable, scalable, production-ready enterprise solutions.
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Dr. Ashish Tendulkar Dr. Ashish Tendulkar Google AI
Live coding60 minutes

From Prototype to Production: Building Enterprise AI with Forward-Deployed Engineers

How do you turn a real business problem into an AI solution that can work in an enterprise? This 60-minute session introduces the Forward-Deployed Engineer (FDE) role and shows how business needs, AI engineering and enterprise integration come together. Through live coding, participants see an AI-powered workflow built, tested against realistic cases, and examined through the lens of production readiness.

What you will take away

  • What a Forward-Deployed Engineer does, and how the role differs from traditional software and AI engineering.
  • How an engineer translates a business problem into a scoped AI solution and architecture.
  • A live-coded enterprise AI workflow that connects an LLM with data, tools and business logic.
  • Why testing, failure handling, security, reliability and evaluation matter beyond a working prototype.

The 60 minutes

  1. The rise of the FDEWhat a Forward-Deployed Engineer is, why the role is emerging, and why enterprises need engineers who can connect business problems to working technology.
  2. The FDE mindsetHow FDEs discover the real problem, clarify requirements, define constraints, and identify what success should look like.
  3. Designing the solutionA concise walkthrough of the architecture: model, enterprise data, tools or APIs, workflow, and guardrails.
  4. Live coding: build an enterprise AI workflowA focused business workflow agent, such as a procurement assistant that checks policy and supporting information through a mock enterprise API, then recommends a next step.
  5. Test, find failures, improveRealistic test cases, including missing information or a policy exception. Examine the output, identify failure modes, and demonstrate an improvement.
  6. From prototype to productionWhat real deployment needs: access control, privacy, reliability, observability, evaluation, human approval, and integration.
  7. Key takeawaysThe FDE mindset and the capabilities required to build useful enterprise AI.
Who should attend: fresh engineering graduates, software developers, AI/ML engineers, data scientists, technology leaders, and enterprise decision-makers, including CIOs, CTOs and Chief Data Officers.
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CXO Roundtable

Building the Enterprise AI Workforce: Talent, Delivery and the Rise of Forward-Deployed Engineering

  • 20–21 November 2026
  • World Trade Center, Mumbai
  • 60 minutes
  • Closed-door
Bhupesh Daheria
ModeratorBhupesh DaheriaCEO, Aegis School of Data Science & AI; Aegis Super Intelligence Lab
Dr. Vinay Kulkarni
SpeakerDr. Vinay KulkarniAdjunct Professor, IIT Bombay; Director, Aegis School of Data Science & AI
Dr. Ashish Tendulkar
SpeakerDr. Ashish TendulkarLead, Google AI

Roundtable agenda

  1. The Enterprise AI Execution Challenge 5 minWhy organizations struggle to translate AI investments into production-ready solutions and measurable business outcomes.
  2. Building the Enterprise AI Workforce 10 minEmerging skills, capability gaps, and preparing engineering and data teams for Generative AI and Agentic AI.
  3. The Rise of Forward-Deployed Engineering 15 minHow FDEs bridge business problems, AI engineering and enterprise implementation, and how the approach differs from traditional software engineering, AI engineering and consulting.
  4. From AI Pilots to Production 15 minEvaluating pilots, establishing success metrics, addressing integration and governance challenges, and developing scalable AI delivery models.
  5. Industry–Academia Collaboration 10 minIndustry-ready talent, corporate training, reskilling, and practical learning pathways for enterprise AI.
  6. Key Takeaways and Next Steps 5 minPriority workforce capabilities, enterprise challenges, and opportunities for collaboration.
Intended audience: L&D Heads, Delivery Heads, Chief AI Officers, Chief Data Officers, CIOs, CTOs, and enterprise technology and workforce transformation leaders.
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More Workshops, Coming Soon

These are not open for seats yet. The workshop that comes with a Premium Delegate or VIP Pass is one of the two featured sessions above.

Popular

Generative AI & LLMs

Master the fundamentals and advanced techniques of working with Large Language Models and Generative AI applications.

4 Hours
Intermediate

Topics Covered

  • LLM Architecture & Fundamentals
  • Prompt Engineering Best Practices
  • RAG (Retrieval Augmented Generation)
  • Fine-tuning Pre-trained Models
Coming soon
New

Agentic AI Development

Build autonomous AI agents that can reason, plan, and take actions to accomplish complex tasks.

4 Hours
Advanced

Topics Covered

  • Agent Architecture & Frameworks
  • Tool Integration & Function Calling
  • Multi-Agent Systems
  • Deployment & Orchestration
Coming soon
Trending

VibeCoding & AI-Assisted Development

Leverage AI coding assistants and learn the art of prompt-driven development for rapid prototyping.

3 Hours
Beginner

Topics Covered

  • GitHub Copilot & Cursor AI
  • Prompt Engineering for Code
  • Rapid Prototyping Techniques
  • Code Review with AI
Coming soon
Essential

AI Product Development

End-to-end journey from ideation to deployment of AI-powered products and services.

5 Hours
Intermediate

Topics Covered

  • AI Product Strategy & Planning
  • MVP Development & Testing
  • Model Selection & Integration
  • Deployment & Monitoring
Coming soon
Popular

Recommender System Development

Build intelligent recommendation engines using collaborative filtering, content-based, and hybrid approaches.

4 Hours
Intermediate

Topics Covered

  • Collaborative Filtering Algorithms
  • Content-Based Recommendations
  • Matrix Factorization Techniques
  • Real-time Recommendation Systems
Coming soon
Hands-On

AI Chatbot Development

Create intelligent conversational AI systems using modern NLP frameworks and deployment strategies.

4 Hours
Intermediate

Topics Covered

  • Conversational AI Architecture
  • Intent Recognition & Entity Extraction
  • Context Management
  • Integration with Messaging Platforms
Coming soon
Advanced

LLM Model Fine-Tuning

Learn advanced techniques for customizing and fine-tuning large language models for specific use cases.

5 Hours
Advanced

Topics Covered

  • Transfer Learning Fundamentals
  • Parameter-Efficient Fine-Tuning (PEFT)
  • LoRA & QLoRA Techniques
  • Evaluation & Deployment Strategies
Coming soon
Practical

Computer Vision & Image AI

Build image recognition, object detection, and visual AI applications using state-of-the-art models.

4 Hours
Intermediate

Topics Covered

  • CNN Architectures & Transfer Learning
  • Object Detection (YOLO, R-CNN)
  • Image Segmentation Techniques
  • Deployment on Edge Devices
Coming soon

Who Should Attend?

Perfect for professionals looking to upskill in AI technologies

Software Developers Data Scientists ML Engineers Product Managers Entrepreneurs Enterprise Teams Students & Researchers AI Enthusiasts

What You'll Need

Basic requirements to get the most out of workshops

Laptop with minimum 8GB RAM
Basic Python programming knowledge
Stable internet connection
GitHub/Google Cloud account
Pre-installed software (list provided)
Enthusiasm to learn and experiment!

Learn from Industry Experts

Our workshops are led by experienced AI practitioners and researchers who are building real-world AI systems at leading tech companies, startups, and research institutions. Get insights beyond textbooks and online courses.

Dr. Ashish Tendulkar
Workshop Facilitator Dr. Ashish Tendulkar Lead AI, Google
Dr. Vinay Kulkarni
Workshop Facilitator Dr. Vinay Kulkarni Adjunct Faculty, IIT Bombay · Director, Aegis School of Data Science & AI
🏢 FAANG Engineers 🎓 PhD Researchers 🚀 Startup Founders 📚 Published Authors 💼 Industry Veterans

Workshop Registration

A workshop seat comes with two passes: the Premium Delegate Pass (₹14,999 + GST) and the VIP Pass (₹19,999 + GST), one workshop each. Seats are limited and go first come, first served: after you pay, you choose your seat in the app, in a few seconds. The Delegate Pass (₹4,999 + GST) covers the conference and lunch, without a workshop.

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