The AI Training Hub

Global AI Skills Bootcamp: In-Class Intensive Program

40 hours

156 Students

All levels

15 Lessons

5 Quizzes

Course Preview

$599.00

Description

The Global AI Skills Bootcamp is an intensive one-week in-person AI training program designed for professionals ready to master cutting-edge AI technologies. With the rapid evolution of Generative AI, RAG systems, and autonomous agents, professionals need hands-on skills to stay competitive in the job market. This 40-hour intensive bootcamp provides comprehensive training in: AI Foundations (Understanding core ML, NLP, and computer vision concepts), Generative AI Mastery (Building applications with GPT, Claude, and custom LLMs), RAG Systems (Creating intelligent document processing and knowledge retrieval systems), AI Agents (Developing autonomous agents for workflow automation), and Real-world Projects (Building portfolio-ready applications with enterprise-grade deployment). By completion, participants will have built multiple AI applications, gained hands-on experience with industry tools, and developed the skills needed for high-demand AI roles in today's market.

Mode of Delivery

In-Person Intensive: One-week immersive bootcamp with hands-on labs and real-time mentorship.
Format: Interactive workshops, coding labs, project-based learning, and peer collaboration.
Equipment: All development environments, cloud platforms, and AI tools provided.
Support: 1:5 instructor-to-student ratio ensuring personalized guidance.

Course Duration

40 hours

One-Week Intensive Bootcamp (40 hours total).
Monday-Friday: 8 hours daily (9 AM - 5 PM). Includes lunch breaks and networking sessions. Evening Q&A sessions available for advanced topics.

Course Fee

$599.00

Specific pricing. Variable — depends on: Location of delivery, Number of participants, Level of customization required (industry-specific or regional tailoring). Contact The Ai Training Hub LLC for a detailed consultation and proposal.

Prerequisites

No prior AI knowledge required.
Participants should have a basic understanding of their business or regional context.

Detailed curriculum by phase and modules.

Phase 1: AI Foundations & Business Relevance (Day 1)

Module 1: Brief overview of AI concepts (light ML, focus on context) 2 hours 30 minutes

Detailed lessons for this module will be shared before the cohort begins.

Module 2: The rise of Generative AI, LLMs, and AI Agents 2 hours 30 minutes

Detailed lessons for this module will be shared before the cohort begins.

Module 3: Local and industry-specific opportunities for adoption 3 hours

Detailed lessons for this module will be shared before the cohort begins.

Phase 2: Generative AI Mastery (Days 2-3)

Module 4: Hands-on with ChatGPT, Claude, Gemini, and open-source LLMs 5 hours

Detailed lessons for this module will be shared before the cohort begins.

Module 5: Prompt engineering frameworks for business, healthcare, and public sector use cases 5 hours

Detailed lessons for this module will be shared before the cohort begins.

Module 6: Generative AI for content creation, customer engagement, and knowledge support 6 hours

Detailed lessons for this module will be shared before the cohort begins.

Phase 3: Retrieval-Augmented Generation (RAG) Systems (Day 4)

Module 7: Introduction to embeddings and vector databases (no heavy coding) 2 hours 30 minutes

Detailed lessons for this module will be shared before the cohort begins.

Module 8: Connecting LLMs to local/company data 2 hours 30 minutes

Detailed lessons for this module will be shared before the cohort begins.

Module 9: Practical: Build a Q&A assistant for organizational or regional documents 3 hours

Detailed lessons for this module will be shared before the cohort begins.

Phase 4: AI Agents & Workflow Automation (Day 5)

Module 10: What are AI Agents and multi-agent systems? 1 hour 30 minutes

Detailed lessons for this module will be shared before the cohort begins.

Module 11: Real-world use cases: customer support, HR, operations, supply chain 1 hour 30 minutes

Detailed lessons for this module will be shared before the cohort begins.

Module 12: Hands-on: Create a basic agent workflow to automate a business process 1 hour

Detailed lessons for this module will be shared before the cohort begins.

Phase 5: Capstone Project & Responsible AI (Day 5)

Module 13: Group projects: design and present an AI solution prototype (GenAI, RAG, or Agent-based) 2 hours

Detailed lessons for this module will be shared before the cohort begins.

Module 14: Responsible AI in practice: ethics, bias, privacy, and sustainability 1 hour

Detailed lessons for this module will be shared before the cohort begins.

Module 15: Bootcamp wrap-up + Certificates of Completion 1 hour

Detailed lessons for this module will be shared before the cohort begins.

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 15 Lessons

Doctorate (PhD, MD, etc.)

Follow:

Professional Certifications & Achievements

Certification 1

Certificate 1

Certification 2

Certificate 2

Certification 3

Certificate 3

Certification 4

Certificate 4

This bootcamp is ideal for corporate teams, public sector groups, and regional cohorts—especially in areas where internet connectivity limits online learning. It's designed for professionals who need rapid, practical exposure to Generative AI, LLMs, RAGs, and AI Agents to solve real business or community challenges.

Participants will leave with hands-on experience in: Applying LLMs like ChatGPT and Claude in professional workflows, Building knowledge-grounded assistants using RAG systems, Deploying AI Agents to automate repetitive tasks and cut costs, Applying responsible and ethical AI practices in organizational settings.

Very. Every day includes interactive labs, group projects, and case studies that connect directly to local industries, business operations, and regional priorities.

No prior AI knowledge is required. The bootcamp begins with a light introduction to AI basics before diving into applied Generative AI, LLMs, and Agents.

Yes. Participants receive a Certificate of Completion from The Ai Training Hub LLC, validating their expertise in Generative AI, LLMs, RAGs, and AI Agents.

By the end of the bootcamp, participants will have working prototypes and AI-driven strategies that can immediately enhance workflows, reduce costs, and address business or regional challenges.

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