Unlike the Engineering course, which focuses on code, this course focuses on Context, Cost, and Compliance. Designed for Solution Architects, Technical Product Managers, and Management Consultants who need to bridge the gap between business goals and AI capabilities.
An AI Consultant does not need to know how to write a CUDA kernel. They need to know why a CUDA kernel costs money, when to use it, and how to explain the risk to a CEO. This course is about navigating the "Hype Cycle" to find the "Value Cycle".
Solution Architects, Technical Product Managers, and Management Consultants who need to bridge the gap between business goals and AI capabilities.
Strategy consultants and independent advisors who need to guide clients on AI adoption, build business cases, and navigate enterprise AI decisions.
PMs who need to evaluate AI features, build defensible business cases, prioritize AI initiatives, and make buy vs. build decisions.
Architects who design AI solutions, assess technical feasibility, make architectural decisions, and ensure solutions meet business needs while managing risk.
By the end of this course, you will be able to:
Identify business problems that are actually solvable by AI (and reject those that aren't). Use impact/effort matrices and process mapping to prioritize use cases.
Build comprehensive TCO models including token costs, infrastructure, and calculate the true Return on Investment of AI projects with 3-year projections.
Understand EU AI Act, GDPR, copyright law, and liability issues. Create compliance checklists and acceptable use policies for enterprise AI.
Create buy vs. build decisions, change management plans, and phased implementation roadmaps from PoC to production with realistic timelines.
From AI literacy to comprehensive strategy engagement.
Build executive-level understanding of AI and the vendor landscape.
Discover use cases and make architectural decisions.
Build defensible financial models and ROI calculations.
Navigate legal compliance and manage enterprise risks.
Manage change and create implementation roadmaps.
Complete strategy engagement simulation.
Practical tools and frameworks you'll master.
Flexible options to fit your schedule and learning style.
AI consultant training is a structured path for people who advise on AI rather than only write model code. This 12-week course covers opportunity diagnosis, business cases, ROI, governance, compliance, and implementation roadmaps so you can run an engagement from discovery to handover.
Both. The curriculum is a consultant roadmap (strategy → cost → compliance → delivery) taught as a 12-week masterclass with optional cohort and 1-on-1 options. It is not a Python bootcamp — that is the AI Engineer course.
Management consultants, technical product managers, and solution architects who need to brief executives, size AI work, and keep implementations inside cost and legal limits.
Join the next cohort and master AI strategy, ROI, and implementation in 12 weeks.