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
$3,500 $3,000

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 interactive sessions via Zoom.
  • Hands-on Training: Practical labs using no-code and low-code AI tools, with project-based assignments.

Course Duration

12 weeks (60+ hours total)

  • Live Lecture Sessions: Saturdays, 10:00 am – 1:00 pm ET.
  • Hands-on Training: Sundays, 2:00 pm – 4:00 pm ET.
  • Office Hours: Scheduled as needed

Course Fee

$3,000 per participant
  • Early-bird discount: 10% 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.

Become a confident AI professional with this comprehensive 12-week flagship program. From AI fundamentals and data visualization to generative AI, LLMs, and agent-based systems, this course equips you with the skills to build real-world AI solutions and prepare for industry certifications.
Below is the detailed 12-week curriculum for the AI Mastery Course:

Phase 1: Foundations & Data (Weeks 1–4)
Module 1: Introduction to AI & ML Foundations 3 Topics
AI landscape, core concepts, industry applications Preview
Setting up AI environments, intro to no-code/low-code tools Preview
Hands-on lab: Your first AI project Preview
Module 2: Data Analytics & Visualization with Power BI 3 Topics
Structured data, EDA, dashboard creation Preview
Storytelling with data Preview
Lab: Building interactive dashboards Preview
Module 3: Computer Vision for Applied AI 3 Topics
Basics of CV, object detection, OCR Preview
Real-world applications Preview
Lab: Building a computer vision model Preview
Module 4: Natural Language Processing & Document Intelligence 3 Topics
Text mining, form recognition, knowledge extraction Preview
NLP techniques and applications Preview
Lab: Document processing with AI Preview
Phase 2: Generative AI, LLMs & RAG (Weeks 5–10)
Module 5: Foundations of Generative AI & LLMs 4 Topics
ChatGPT, Claude, Gemini, open-source LLMs Preview
Few-shot, zero-shot prompting Preview
Fine-tuning concepts Preview
Lab: Comparing different LLMs Preview
Module 6: Advanced Prompt Engineering & AI Creativity 4 Topics
Prompt frameworks, role/task/system prompting Preview
Use cases in business, creative writing, and content generation Preview
Advanced techniques Preview
Lab: Mastering prompt engineering Preview
Module 7: Retrieval-Augmented Generation (RAG) Systems 3 Topics
Vector databases, embeddings, LangChain/LangGraph Preview
Building custom knowledge bases for LLMs Preview
Lab: Implementing RAG Preview
Module 8: RAG in Action – Enterprise Applications 3 Topics
Chatbots with private data Preview
Document Q&A systems and enterprise search assistants Preview
Lab: Building an enterprise chatbot Preview
Module 9: AI Agents & Multi-Agent Systems (Part I) 3 Topics
Concept of AI agents, orchestration, tool use Preview
AutoGPT, CrewAI, and other agentic frameworks Preview
Lab: Creating your first AI agent Preview
Module 10: AI Agents & Multi-Agent Systems (Part II) 3 Topics
Designing agent workflows Preview
Agents for productivity, customer support, and business operations Preview
Lab: Multi-agent system implementation Preview
Phase 3: Capstone & Career Acceleration (Weeks 11–12)
Module 11: Building & Deploying Agentic AI Applications 3 Topics
From prototype to deployment (cloud, APIs, web apps) Preview
Ethical & governance considerations for GenAI systems Preview
Lab: Deploying your AI application Preview
Module 12: Capstone Project & Certification Prep 4 Topics
Final project presentation (LLM + RAG/Agent system) Preview
AI-900 review & practice Preview
Resume, portfolio, and career coaching Preview
Graduation ceremony Preview

Dr. Peter L. Takunju

The AI Mastery Course is led by Dr. Peter L. Takunju, 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.

156 Students 22 Lessons

Dr. Takunju is an expert in building enterprise-grade AI solutions, including LLMs, RAG systems, agent-based architectures, computer vision, and NLP pipelines. He specializes in turning complex challenges into scalable, production-ready systems using Responsible AI and MLOps best practices.

With certifications in AWS Machine Learning, Azure AI, and Lean Six Sigma Black Belt, Dr. Takunju brings both theoretical depth and practical industry experience to every lesson. His expertise spans across multiple domains, having worked on cutting-edge AI projects at NASA and various enterprise organizations.

To complement his leadership, hands-on labs are delivered by industry experts from healthcare, finance, and manufacturing, ensuring participants gain diverse and practical insights into real-world AI applications. This collaborative approach provides learners with comprehensive exposure to AI implementations across different sectors.

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Professional Certifications & Achievements

NASA Achievement Certificate
MIT Achievement Certificate

MIT Machine Learning Certificate
ASQ Lean Six Sigma Black Belt Certificate

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.

Comments

4.0

based on 146,951 ratings

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User

Laura Hipster

October 03, 2024

This AI Mastery Course exceeded my expectations! Dr. Takunju's teaching approach made complex concepts like RAG systems and multi-agent architectures surprisingly accessible. The hands-on labs were incredibly valuable, and I now feel confident building enterprise-grade AI solutions. Highly recommend for anyone serious about advancing their AI career!

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User

Marcus Johnson

September 28, 2024

As someone with no coding background, I was hesitant to take this course. But the no-code/low-code approach was perfect for me! The Power BI and prompt engineering modules were game-changers for my career. I'm now implementing AI solutions in my workplace and even got promoted. The Microsoft AI-900 prep was excellent too - passed on my first try!

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User

Jennifer Rodriguez

September 18, 2024

The flexibility of this program is outstanding. As a working mother, I appreciated the self-paced learning combined with live sessions. The NLP and generative AI modules are cutting-edge, and the ethical AI discussions were thought-provoking. My employer is now sponsoring me for the advanced courses!

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