Toronto AI, ML and Data Meetup Group

A few years ago, AI could answer questions. Today, it writes software.

Tomorrow, it will conduct research, coordinate teams, negotiate contracts, analyze businesses and solve problems with minimal human intervention. We're witnessing a transition from AI that responds to AI that acts.

This new generation is called Agentic AI.

Understanding this shift isn't just important for AI engineers. It matters to software developers, analysts, product managers, researchers, entrepreneurs, and anyone whose work involves solving problems.

Because the future won't simply belong to people who know how to use AI.

It will belong to those who understand how intelligent systems are designed, orchestrated, and improved.

Every week, there's a new AI breakthrough.

A new model. A new framework. A new benchmark. A new startup. A new promise.

Keeping up with AI has become exhausting.

Many learners jump from one tutorial to another, collecting tools but never building a coherent understanding of the field.

The result?

• Lots of information.
• Very little clarity.

This masterclass is designed to slow things down.

Not by teaching less, but by helping you see the bigger picture.

Before You Learn Another AI Tool...

Ask yourself:

• Why are AI Agents becoming so important?
• Is Machine Learning still worth learning?
• Where do LLMs fit into the AI ecosystem?
• How do autonomous AI systems actually make decisions?
• What skills will still matter five years from now?
• If I started learning AI today, where should I begin?

These are the questions we'll explore together.

The Missing Map

Most people learn AI like this:

Python > Prompt Engineering > ChatGPT > LangChain > MCP > AI Agents > Another framework.

It feels like progress. But often, it's just a collection of disconnected technologies.

In this session, we'll connect the dots.

You'll understand how today's AI landscape has evolved from Machine Learning to Deep Learning, from Large Language Models to Agentic AI, and why each layer exists.

Once you understand the map, learning new tools becomes dramatically easier.

What You'll Gain

By the end of this session, you'll have:

• A clear understanding of what Agentic AI actually is, and what it isn't.
• A mental model of how Machine Learning, Deep Learning, LLMs, RAG, and AI Agents fit together.
• Insights into how modern AI systems reason, plan, and interact with tools.
• A practical roadmap for learning AI without getting overwhelmed by every new framework.
• A clearer perspective on the skills that will matter in the coming years.

More importantly, you'll know what to learn next and why.

Who Should Attend?

This session is for anyone who wants to understand where AI is headed, including:

• Curious learners looking for a structured introduction to modern AI
• Students preparing for careers in AI
• Software Engineers and Developers
• Data Scientists and Machine Learning Engineers
• Technology and Product Professionals
• Business Leaders exploring AI adoption

No prior knowledge of Machine Learning is required.
Curiosity is enough.

Continue the Journey

This masterclass also introduces the PG Certificate Program in Agentic AI & Machine Learning, jointly offered by E&ICT Academy, IIT Roorkee and CloudxLab.

The program is designed for learners who want more than surface-level familiarity with AI.

Over ten months, participants build a strong foundation in Machine Learning before progressing to Deep Learning, Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG), Agentic AI, and the development of real-world AI applications.

With live instruction, hands-on labs, industry projects, and mentorship, the program emphasizes understanding, implementation, and problem-solving, not just tool usage.

Every business has the same problem: the answer to their hardest question is never in one place.
Your database holds what actually happened - transactions, enrollments, conversions. Your analytics platform holds who showed up and what they did. Your ad accounts hold what you spent to get them there. Three systems. Three partial truths. And no single tool that reads all three at once.
Terno does.
In this session, we'll walk through two real cases where Terno reasoned across a production database, web analytics, and ad spend data to surface a diagnosis that no single system could have found on its own.
What we'll cover:

• How Terno connects to your database, analytics, and ad platforms and builds a shared understanding of your business automatically
• A live walkthrough of a real revenue collapse diagnosis: what the database showed, what the analytics showed, what the ad data showed, and how Terno connected them into a single root cause
• A second independent case study demonstrating the same approach on a different business
• How the semantic layer works on what's automated, what benefits from a short guided setup, and why it matters for getting answers you can actually trust
• A live demo: ask Terno a cross-source question and watch it reason in real time

Who should attend:

• Founders and operators who want faster answers from their data without hiring a data team
• Data and analytics leads at companies running on multiple data sources who are tired of reconciling dashboards manually
• Product and growth teams who need to connect acquisition data with product/revenue data to understand what's actually working
• Anyone evaluating AI analytics tools who wants to see what "multi-source reasoning" actually looks like in practice, not just in a slide deck

What Terno is:
Terno is an AI data scientist that connects to every system holding a piece of business truth - your database, your analytics, your ad platforms, and, on the roadmap: your CRM, ERP, logs, and internal documentation. It builds a semantic layer on top of your data automatically, then lets you ask questions across all of it in plain language.
The answers are grounded in real data execution, not AI guesswork.

## Details

What if you could harness the power of AI for analytics, without sending a single byte of your data to the cloud?
In this 60-minute session, we’ll explore how professionals are now running full-featured, AI-powered analytics tools directly on their local machines. No external logins. No internet dependency. No approvals required.
Built for teams that work in secure, restricted, or compliance-sensitive environments, this session will show how you can keep queries, results, and credentials completely local, and still unlock fast, intelligent insights from your data.
What You’ll Learn

• How to set up a local AI analytics environment, with zero cloud exposure
• Query internal databases like Postgres, MySQL, or SQLite, even when offline
• Maintain total control over credentials, logs, and schema visibility
• Save and reuse logic for recurring questions across your team
• Build personal analytics workflows that are fast, persistent, and consistent

Who Should Attend

• Data and analytics teams working in secure or regulated environments
• Professionals who need local access to production-like databases
• Anyone looking for powerful, offline-friendly analytics without network risk

Boosting Team Productivity

• With desktop-based AI, teams no longer have to rely on browser sessions, scattered SQL scripts, or third-party dashboards. Instead:
• Reusable workflows ensure consistency across users
• Local installations mean faster access, zero latency, and no downtime
• Team members can collaborate on logic and results without reworking queries
• Everyone stays aligned and insights are easier to trace, reproduce, and share

Whether it’s a recurring metric, a last-minute audit, or a high-stakes decision, the answers are always at your fingertips.
No browser tabs. No round trips. No cloud uploads.
Just fast, reliable analytics, where your data already lives.
Reserve your seat now and see firsthand how AI can solve today’s most pressing analytics problems.