Courses Descriptions

MODULE OBJECTIVE

What you'll achieve

Map Human Intelligence to Artificial Intelligence, distinguish traditional (Discriminative) AI from Generative AI, master the five pillars of GenAI, navigate the tool ecosystem, and evaluate ethical implications through real-world case studies.

SECTION 01 — The Sensory Blueprint

Mapping human senses to AI systems

• Ears → Speech Recognition / Audio AI
• Eyes → Computer Vision & object detection
• Skin → IoT sensors, pressure & temperature
• Mouth → NLP & Speech Synthesis
• Case study: Osmo.ai & smell intelligence

SECTION 02 — Traditional AI vs Generative AI

The evolution from analysis to creation

• Supervised learning: Spam filters, price prediction
• Unsupervised: Customer segmentation
• GenAI creates new content vs classifying
• Decision framework: when to use which

SECTION 03 — The Five Pillars of GenAI

Core frameworks powering modern AI

• Prompt Engineering: Instruction design
• RAG: Real-time private data connection
• Fine-Tuning: Domain-specific customization
• Agents: AI with tools and reasoning
• Agentic AI: Autonomous multi-agent workflows

SECTION 04 — The GenAI Ecosystem

Tools, modalities, and cost overview

• Text: ChatGPT, Claude, Gemini, Copilot
• Image: Midjourney, Image Model
• Video: Sora, Gemini, Flow
• Code: GitHub Copilot, Cursor
• Case study: Social media campaign ROI

SECTION 05 — Challenges & Ethics

Risks, pitfalls, and Responsible use

• Hallucinations: AI presenting falsehoods confidently
• Bias embedded in training data
• Privacy risks with public models
• Overreliance and skill degradation

SECTION 06 — The Future of AI

Physical AI, robotics, and what's next

• Physical AI: Robots as sensory amalgamations
• Multimodal AI: Text + Image + Audio
• Autonomous agents at scale
• Emerging AI regulation landscape

KEY TAKEAWAYS

1. GenAI shifts AI from understanding data to creating it

2. Intelligence = Perception + Reasoning + Action

3. Traditional AI classifies; Generative AI creates

4. Context is the foundation of good prompting and RAG

5. The 5 pillars define enterprise AI adoption architecture