About this course
🚀 Why Join This Course? (Student Benefits)
✨ Strong Foundation – Understand the basics of AI, ML & Data Science
✨ Hands-On Learning – Practice with free Generative AI tools for text & images
✨ Next-Gen AI Skills – Explore LLMs like GPT & Claude without paid tokens
✨ Prompt Like a Pro – Master the art of Prompt Engineering
✨ Real-World Applications – Apply AI to solve everyday and industry tasks
✨ Build & Launch – Create and deploy your own AI chatbot project
✨ Industry Exposure – Learn popular tools & frameworks used by professionals
✨ Hackathon Experience – Showcase your projects in a fun, competitive style
✨ Career-Ready Skills – Gain future-proof skills employers are looking for
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1. History, Evolution & Applications in Daily Life
2. AI vs ML vs DL vs DS (with examples)
3. Hands-On: Identify AI in everyday apps, Quick ML demo (Google Colab / web tool)
1. GenAI in Text, Image, Audio, Video
2. Popular Tools: ChatGPT, Claude, DALL·E, MidJourney
3. Real-world industry applications
4. Hands-On: Generate text with ChatGPT, Create an AI image using DALL·E
1. How LLMs are trained (simple explanation)
2. GPT vs Claude – Key strengths & differences
3. Hands-On: Compare outputs from GPT & Claude for the same query
1. Prompting techniques – Zero-shot, Few-shot, Role prompting, Chain-of-thought
2. Good vs Bad Prompts
3. Hands-On: Students write prompts for blog writing, debugging code, customer queries
1. Chat Summarization & Customer Support AI
2. AI in Customer Experience – Agent support & CSAT scoring
3. Hands-On: Summarize a long article/chat transcript, AI scoring of sample customer chats
1. Step 1: Connect to an LLM (API/sandbox)
2. Step 2: Design prompt flow
3. Step 3: Deploy a simple chatbot
4. AI Tools & Frameworks (LangChain, Hugging Face, OpenAI Playground)
5. Responsible AI & Ethics (bias, privacy, security)
6. Hands-On Project: Students build a simple chatbot & present output
