Author photo Dr. Peter L. Takunju

AI Mastery Course

Duration 12 Weeks
Students 156 Students
Level All levels
Lessons 22 Lessons
Quizzes 3 Quizzes
Course Preview
$2,500.00

Description

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.

Mode of Delivery

  • Virtual: Live Instructions via Zoom Link

Course Duration

12 Weeks

  • Live Lectures, Saturday (10:00 am - 1:00pm ET)

Course Fee

$2,500.00

$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.

Prerequisites

  • No coding experience required.
  • Basic understanding of mathematics/statistics helpful but not mandatory.
  • Designed for both technical and non-technical professionals.

Detailed curriculum by phase and modules.

Phase 1: Foundations & Data (Weeks 1–4)
Module 1: Introduction to AI & ML Foundations 1 week
Module 2: Data Analytics & Visualization with Power BI 1 week
Module 3: Computer Vision for Applied AI 1 week
Module 4: Natural Language Processing & Document Intelligence 1 week
Phase 2: Generative AI, LLMs & RAG (Weeks 5–10)
Module 5: Foundations of Generative AI & LLMs 1 week
Module 6: Advanced Prompt Engineering & AI Creativity 1 week
Module 7: Retrieval-Augmented Generation (RAG) Systems 1 week
Module 8: RAG in Action – Enterprise Applications 1 week
Module 9: AI Agents & Multi-Agent Systems (Part I) 1 week
Module 10: AI Agents & Multi-Agent Systems (Part II) 1 week
Phase 3: Capstone & Career Acceleration (Weeks 11–12)
Module 11: Building & Deploying Agentic AI Applications 1 week
Module 12: Capstone Project & Certification Prep 1 week

Dr. Peter L. Takunju

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.

156 Students 22 Lessons

Doctorate (PhD, MD, etc.)

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Professional Certifications & Achievements

Certification 1

Certificate 1

Certification 2

Certificate 2

Certification 3

Certificate 3

Certification 4

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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