Generative AI with Jac Programming – 12 Week Seminar

Welcome to the official repository for the 12-week seminar on Generative AI and Jac Programming, jointly offered by The Open University of Kenya (OUK) and BCS Technology International Pty Limited, Australia.

This program blends cutting-edge AI theory with hands-on practice, equipping learners with skills to design, build, and deploy generative AI applications across text, images, music, and video. The course is delivered by AI PhDs and industry experts, with a balance of weekly tutorials, coding projects, and a final hackathon.

📂 Repository Structure

generative_ai_ouk/
│
├── README.md                  # Main homepage (course overview + navigation)
├── LICENSE                    # License file (recommended)
├── CONTRIBUTING.md             # How others can contribute
├── pyproject.toml              # uv project configuration + dependencies
├── uv.lock                     # Auto-generated lock file
│
├── resources/                  # Shared resources across all weeks
│   ├── seminar-slides/         # Lecture slides (if shareable)
│   ├── datasets/               # Sample datasets for practice
│   ├── cheatsheets/            # Quick references (e.g., GPT vs LLaMA)
│   └── readings.md             # Suggested readings / papers
│
├── week-01/                    # Week 1: Course Launch & GenAI Wave
│   ├── README.md               # Outline, tasks, tutorial notes
│   ├── src/                    # Example scripts/code
│   └── assets/                 # Diagrams, media, supporting files
│
├── week-02/                    # Week 2: Foundations of AI, ML & DL
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-03/                    # Week 3: Sequence Models & Transformers
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-04/                    # Week 4: GPT Architectures
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-05/                    # Week 5: Advanced Models
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-06/                    # Week 6: Agentic AI
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-07/                    # Week 7: Multimodal Systems
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-08/                    # Week 8: Fine-Tuning & Domain Adaptation
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-09/                    # Hackathon Week 1
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-10/                    # Hackathon Week 2
│   ├── README.md
│   ├── src/
│   └── assets/
│
├── week-11/                    # Responsible AI
│   ├── README.md
│   ├── src/
│   └── assets/
│
└── week-12/                    # Capstone Showcase / Final Wrap-Up
    ├── README.md
    ├── src/
    └── assets/

Skills You’ll Gain

• Generative AI Fundamentals
• Sequence Models & Transformers
• GPT Architectures (1–5)
• Open-Source & Proprietary Models (LLaMA, Claude, Mistral, etc.)
• Agentic AI & Tool-Augmented LLMs
• Multimodal AI Systems (text, vision, speech)
• Fine-Tuning & Domain Adaptation (LoRA, adapters)
• Jac Programming & the Jaseci Platform
• Responsible & Ethical AI Practices

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📂 Weekly Roadmap

Week	Topic	Folder Link	Highlights
1	Course Launch & The Generative AI Wave	week-01	State of GenAI, research & industry trends
2	Foundations of AI, ML & Deep Learning	week-02	Core definitions, neural networks, cognition comparisons
3	Sequence Models & Transformers	week-03	RNNs, LSTMs, GRUs, attention, Transformer intro
4	GPT Architectures (GPT-1 → GPT-5)	week-04	Model evolution, fine-tuning, RLHF
5	Advanced Open Models	week-05	DeepSeek-V2, LLaMA, Phi, Claude, Mistral
6	Agentic AI Systems	week-06	Agents, orchestration, tool-augmented LLMs
7	Multimodal AI	week-07	GPT-4V, MM-ReAct, Gemma 3, multimodal tasks
8	Fine-Tuning & Domain Adaptation	week-08	LoRA, adapters, custom datasets
9	Hackathon – Part 1	week-09	Collaborative projects, real-world challenges
10	Hackathon – Part 2	week-10	Solution building & deployment
11	Responsible & Ethical AI	week-11	Bias, safety, ethics, governance
12	Capstone & Showcase	week-12	Final presentations, wrap-up

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🚀 Getting Started

1. Clone this repository:

   git clone https://github.com/Developer-Linus/generative_ai_ouk.git
   cd generative_ai_ouk

2. Install dependencies:

   uv sync

3. Navigate to the week you want to start (e.g., cd week-01).

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📚 Resources

• Jac Programming Language
• Jaseci Platform
• Transformer Paper (Vaswani et al., 2017)
• OUK – Open University of Kenya
• BCS Technology

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🏆 Final Hackathon

In Weeks 9–10, learners participate in a collaborative Generative AI Hackathon, solving real-world problems across healthcare, agriculture, finance, education, and transportation.