12 Weeks
156 Students
All levels
22 Lessons
3 Quizzes
The AI Mastery Course is a 12-weeks immersive program that unifies our foundational, data visualization, and generative AI training into one powerful curriculum. Designed for both technical and non-technical professionals, this course provides end-to-end mastery of AI concepts, tools, and applications. Participants will learn to analyze structured and unstructured data, design compelling dashboards with Power BI, apply computer vision and NLP techniques, and build AI agents using cutting-edge generative AI tools. Beyond technical knowledge, this course emphasizes responsible AI practices, real-world deployment, and hands-on project work. By the end, learners will have a professional AI portfolio, be well-prepared for the Microsoft AI-900 certification, and possess the practical skills to step confidently into AI-driven roles across industries.
12 Weeks
$2,500 per participant. Early-bird discount: 20% off (for full payment). Flexible payment plans available. Additional discounts may apply for participants from developing nations.
Detailed curriculum by phase and modules.
AI landscape, core concepts, and industry applications
Learn data analytics and dashboard creation
Learn computer vision techniques and applications
Master NLP techniques and document processing
Introduction to Large Language Models
Master prompt engineering techniques
Learn to build RAG systems
Real-world RAG implementations
Introduction to AI agents
Advanced agent workflows
Deploy AI applications to production
Final project and certification preparation
Dr. Peter L. Takunju is a former NASA Senior Data Scientist with over 16 years of experience in AI, data science, and enterprise technology. He holds a PhD in Electrical Engineering, a Master’s in Engineering Management, and an MIT Professional Certificate in AI & Machine Learning, along with certifications in AWS Machine Learning, Azure AI, and Lean Six Sigma Black Belt. He specializes in building enterprise-grade AI solutions, including LLMs, RAG systems, agent-based architectures, computer vision, and NLP pipelines. His work focuses on transforming complex challenges into scalable, production-ready systems using Responsible AI and MLOps best practices. Hands-on labs are also delivered by industry experts from sectors such as healthcare, finance, and manufacturing, giving participants practical exposure to real-world AI applications and diverse industry perspectives.
Doctorate (PhD, MD, etc.)
Certificate 1
Certificate 2
Certificate 3
Certificate 4
Yes. The course prepares you for the Microsoft Azure AI-900 certification and equips you with practical portfolio-ready projects.
Every module includes live labs and real-world projects using no-code/low-code AI tools and industry case studies.
Yes. Participants receive a Certificate of Completion from The Ai Training Hub LLC, in addition to industry certification readiness.
Contact our office to discuss early-bird discounts, flexible payment plans, and special pricing for participants from developing nations.
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