Upcoming events

Upcoming live sessions

Browse the next available live sessions and register your spot.

Illustration of a live virtual class where an AI agent plans, uses tools and acts
AI trainingVirtual

AI & Agentic AI for Data Professionals

DatesSat 21 & Sun 22 November, Sat 28 & Sun 29 November 2026
Time9:00 AM – 12:00 PM ET
Duration4 days (3 hours each)
Total hours12 hours
LocationVirtual
Price$200 CAD
Register & Pay
More info

AI & Agentic AI for Data Professionals: Build an AI-Assisted Data Pipeline End to End

AI is moving into production data stacks, and teams need data people who can build and ship AI-assisted pipelines, not just talk about them. In this 4-day live bootcamp (3 hours per day), you’ll learn AI, GenAI and agentic AI in plain terms, then build TripPilot end to end with the Claude API: a travel company, seven messy CSV files (22,000+ rows) and a trustworthy warehouse that a dashboard and an AI chatbot can rely on. Claude drafts the rules and code; tests and quality gates decide what ships.

Who Should Attend

  • Business Intelligence Developers and Analysts: move from dashboards to the pipelines behind them, and let AI speed up the build
  • Data Engineers: add AI-assisted ingestion, transformation, quality checks and agentic automation to your toolkit
  • Business and Data Analysts: go beyond ad-hoc queries and ingest, clean and model data yourself, with AI as your co-pilot
  • Aspiring Data Engineers: build a portfolio-ready, end-to-end pipeline project, even if you’re new to the field

What You’ll Learn

  • Day 1, Foundations, Ingestion & Profiling: AI → GenAI → agentic AI, your first Claude API calls, loading 7 messy TripPilot files into a raw (bronze) layer, and profiling them without leaking personal data
  • Day 2, AI Cleaning & Entity Resolution: AI proposes cleaning rules and drafts parsers while unit tests verify them, bad rows are quarantined with a reason, and duplicate hotels are matched with human review
  • Day 3, Modeling, Quality & Chaos Debugging: build the star-schema gold layer, protect customer PII, add quality gates and orchestration, then break the pipeline on purpose (5 “chaos Friday” failures) and debug it with AI
  • Day 4, Dashboard, Governance & AI Chatbot: an AI-built dashboard with data-quality checks and lineage, data governance and human-in-the-loop design, then build the TripPilot AI chatbot (chat agent) with the Claude API tool-use loop. Ask it questions in plain English with read-only access to approved views, PII redaction, an audit log, lineage answers and human approval for bookings, then red-team it to see what holds
  • Live Q&A with the instructor

What You’ll Take Away

  • A finished, portfolio-ready TripPilot pipeline, from CSV ingestion to an AI-built dashboard
  • A test suite and a data-governance checklist
  • Prompting, tool-use and agent patterns you can apply to ingestion, transformation, quality checks and documentation
  • A ready-made Situation, Task, Action, Result story for interviews, performance reviews and team demos

What’s Included

  • 4 live online sessions: Saturdays and Sundays, 9am-12pm ET (21, 22, 28 and 29 November)
  • 12 hours of live, instructor-led training (3 hours per day)
  • The TripPilot data pipeline project, built hands-on with the Claude API
  • AI API access for the project
  • All presentations and slide decks
  • Certificate of completion

Reserve your spot today. Seats are limited!

Illustration of a live virtual class where an AI agent plans, uses tools and acts
AI trainingVirtual

AI & Agentic AI for Data Professionals

DatesSat 16 & Sun 17 January, Sat 23 & Sun 24 January 2027
Time9:00 AM – 12:00 PM ET
Duration4 days (3 hours each)
Total hours12 hours
LocationVirtual
Price$200 CAD
Register & Pay
More info

AI & Agentic AI for Data Professionals: Build an AI-Assisted Data Pipeline End to End

AI is moving into production data stacks, and teams need data people who can build and ship AI-assisted pipelines, not just talk about them. In this 4-day live bootcamp (3 hours per day), you’ll learn AI, GenAI and agentic AI in plain terms, then build TripPilot end to end with the Claude API: a travel company, seven messy CSV files (22,000+ rows) and a trustworthy warehouse that a dashboard and an AI chatbot can rely on. Claude drafts the rules and code; tests and quality gates decide what ships.

Who Should Attend

  • Business Intelligence Developers and Analysts: move from dashboards to the pipelines behind them, and let AI speed up the build
  • Data Engineers: add AI-assisted ingestion, transformation, quality checks and agentic automation to your toolkit
  • Business and Data Analysts: go beyond ad-hoc queries and ingest, clean and model data yourself, with AI as your co-pilot
  • Aspiring Data Engineers: build a portfolio-ready, end-to-end pipeline project, even if you’re new to the field

What You’ll Learn

  • Day 1, Foundations, Ingestion & Profiling: AI → GenAI → agentic AI, your first Claude API calls, loading 7 messy TripPilot files into a raw (bronze) layer, and profiling them without leaking personal data
  • Day 2, AI Cleaning & Entity Resolution: AI proposes cleaning rules and drafts parsers while unit tests verify them, bad rows are quarantined with a reason, and duplicate hotels are matched with human review
  • Day 3, Modeling, Quality & Chaos Debugging: build the star-schema gold layer, protect customer PII, add quality gates and orchestration, then break the pipeline on purpose (5 “chaos Friday” failures) and debug it with AI
  • Day 4, Dashboard, Governance & AI Chatbot: an AI-built dashboard with data-quality checks and lineage, data governance and human-in-the-loop design, then build the TripPilot AI chatbot (chat agent) with the Claude API tool-use loop. Ask it questions in plain English with read-only access to approved views, PII redaction, an audit log, lineage answers and human approval for bookings, then red-team it to see what holds
  • Live Q&A with the instructor

What You’ll Take Away

  • A finished, portfolio-ready TripPilot pipeline, from CSV ingestion to an AI-built dashboard
  • A test suite and a data-governance checklist
  • Prompting, tool-use and agent patterns you can apply to ingestion, transformation, quality checks and documentation
  • A ready-made Situation, Task, Action, Result story for interviews, performance reviews and team demos

What’s Included

  • 4 live online sessions: Saturdays and Sundays, 9am-12pm ET (16, 17, 23 and 24 January)
  • 12 hours of live, instructor-led training (3 hours per day)
  • The TripPilot data pipeline project, built hands-on with the Claude API
  • AI API access for the project
  • All presentations and slide decks
  • Certificate of completion

Reserve your spot today. Seats are limited!

Learner stories

What our learners say

LinkedIn comment from Anmolpreet Kaur thanking Neurolytics for a great 4 week bootcamp and saying she enjoyed the hands-on learning in Microsoft Fabric. LinkedIn comment from Meckala McDowall thanking Neurolytics and saying she enjoyed the discussions and was glad to be part of Cohort 1. LinkedIn comment from Shobhita Sohal saying she was grateful to be part of the first DP-600 cohort, a valuable bootcamp with hands-on learning and real-world scenarios.