AI, Machine Learning & Automation
A track for teams putting AI to work in production rather than treating it as a novelty — from foundational machine learning through agentic systems, applied to real support, automation, and business-efficiency problems. Courses combine conceptual grounding with build-it-yourself exercises.
This page covers the first 3 of 26 courses in the track. Courses run as private cohorts with a minimum class size of 5 participants.
AI & Machine Learning: From Fundamentals to Agentic Systems
Builds the full arc from core machine learning concepts up to agentic AI — systems that plan and take action rather than just generate output. Participants move from model fundamentals through prompting and orchestration to designing their first working agent, so the leap to agentic systems is grounded rather than hype-driven.
5 Days.
AI Best Practices for Application Support: Accelerating Root Cause Analysis and Ticket Resolution
For application support teams looking to cut resolution time without cutting corners. Covers using AI tools to triage tickets, surface likely root causes from logs and history faster, and draft resolutions — while keeping a human in the loop for verification.
3 Days
AI for Automation: Designing and Implementing AI Agents to Enhance Business Efficiency
Takes participants from an automation idea to a working AI agent: scoping a task that’s actually a good fit for agentic automation, designing the agent’s tools and guardrails, and measuring whether it genuinely improved the process it was built to help.
3 Days
Total 26 Courses to get
From AI & Machine Learning to Data & AI for Monetization
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