Machine Learning & Artificial Intelligence 6 Weeks Syllabus
Week‑by‑week plan, tools, and assessment. Designed for freshers and upskilling marketers in Punjab, Himachal, Chandigarh & Haryana.
Week 1 — Introduction to AI & Real-World Applications
Week 2 — AI Tools & Prompt Engineering
Week 3 — Basics of Python for AI
Week 4 — Introduction to Machine Learning
Week 5 — AI + Data Basics
Week 6 — Mini AI Project & Career Awareness
- What is AI? Difference between AI, ML & Data Science
- History & evolution of AI
- AI in real life: Google, Netflix, ChatGPT, self-driving cars
- Narrow AI vs General AI
- Career opportunities in AI
- Practical:
- Introduction to Generative AI
- Practical
- Prompt engineering basics
- Writing effective prompts
- Text, image & code generation
- AI tools for productivity (content, resume, email, research)
- Python overview & setup
- Variables, data types, loops
- Functions & modules
- Lists, dictionaries, tuples
- Introduction to Jupyter Notebook
- Practical
- What is Machine Learning?
- Supervised vs Unsupervised learning
- Training data vs testing data
- Regression & classification (concept)
- ML applications
- Practical
- What is data? Types of data
- Data cleaning basics
- Introduction to NumPy & Pandas
- Reading CSV files
- Basic data analysis
- Practical
- AI project workflow
- Mini project using AI tools or Python
- AI ethics & limitations
- Career paths in AI
- Resume guidance for AI beginners
- Mini Project