MACHINE LEARNING X TEACHING
The AI-Powered Technical Capability & Career-Transition System
Don’t just learn about AI and code. Become capable of building, understanding, and advancing it.*
THE CUTTING-EDGE OF TECHNICAL EDUCATION HAS SHIFTED
Traditional coding bootcamps and static video lectures were built for a different era. MLXT is an AI-native learning system designed to transform domain experts—managers, financial analysts, policy leaders, and marketers—into high-impact software engineers, data scientists, and AI researchers.
How MLXT Transforms Career Transitions
Domain-Anchored Scaffolding.
An AI economist learns Python through macroeconomic models and causal inference. A finance professional learns machine learning on real market datasets. Your existing professional knowledge is your starting advantage, not a obstacle.
Active Learning Engine.
Write, break, and debug code in an integrated technical environment. MLXT’s AI tutor sits beside you 24/7 to inspect logic, explain complex mathematics, diagnose logic errors, and adapt exercises in real time.
* *Interview & Technical Evaluation.
Forget basic syntax memorization. Practice on an intelligent technical assessment engine modeled after modern AI-era interviews; simulating live system design, agent orchestration, AI-assisted coding, code auditing, and real-time debugging challenges.
DEPTHS OF TECHNICAL MASTERY
Whether you need to internalize your first line of human or AI code or publish novel Machine Learning and AI literature, MLXT scales to your ambition:
01. Foundations
Computational thinking, core syntax, data literacy & mathematical prerequisites
02. Data & Software
Production Python, SQL, software engineering, data pipelines & app design
03. AI Engineering
ML pipelines, deep learning, LLM orchestration & AI system architecture
04. AI Research
Advanced mathematics, paper reproduction, experimental design & original research
Built for Teams & Organizations
Empower your organization with tailored, AI-augmented capability built on rigorous economics, cutting-edge machine learning, and ethical implementation.
- Company Teams: Accelerate product innovation, data science workflows, and AI deployment.
- Policy Makers & Public Sector: Bridge the gap between technical AI execution and high-level policy.
- Non-Profits & Foundations: Drive measurable social impact using advanced data-driven systems.
Founded on Academic & Scientific Rigor
AI must create new opportunities and realize the potential to significantly improve human flourishing, productivity, and institutions over time.
Kweku Opoku-Agyemang, Ph.D.
MLXT (a division of Machine Learning X Doing) was founded by Kweku Opoku-Agyemang, Ph.D., an economist and former faculty member at the University of California, Berkeley and researcher at Cornell Tech.
A TEDx Speaker, Dr. Opoku-Agyemang has advised global technology leaders, presented research at institutions such as Stanford University and the World Bank, and led frontier developments at the intersection of economics, AI, and human flourishing.
NEWS. MLXT.
TRAINING WORKSHOP FOR DOCTORAL STUDENTS AND EARLY FACULTY
TORONTO. October 23, 2021.
Dr. Kweku Opoku-Agyemang independently led a training workshop on statistical causal inference for doctoral students and faculty from the University of the Cumberlands.
TRAINING
THE NEXT LEVEL STARTS HERE.
Professional.
Engineer.
AI Researcher.
Learn it. Build it. Understand it. Advance it.
TRAINING
ENTER THE AI ECONOMICS PROFESSION
No economics background required.
Bringing doctoral-level AI tech economics training to all organizations via MLXT.
CONTACT AND INQUIRIES
LOCATION: TORONTO, CANADA
DevOps meet AIOps. Extending next-level AI across every team.
Solve your problem. Solve your organization.
Kweku Opoku-Agyemang, Ph.D.
Kweku Opoku-Agyemang, Ph.D., is creator of MLXT and also founder and director of Machine Learning X Doing Inc. An AI scientist and economist, he has independently advised several stakeholders in the technology industry; given seminars at the world’s best universities such as Stanford University and presented to government officials from several countries and international organizations.
A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning X Teaching can help organizations and countries to do better by their people by meeting or exceeding their potential and taking their culture to its real potential. He is based in Toronto, Canada.