📘 Program Overview
AI/ML Weekly Journey
- Weeks 1–3: Foundations of AI & ML
- Introduction to AI, ML, statistics, applications
- Data preprocessing, cleaning, EDA
- Python libraries: NumPy, Pandas, Matplotlib
- Core ML algorithms – Linear & Logistic Regression
- Weeks 4–6: Expanding ML Knowledge
- Decision Trees, Random Forest
- SVM, Clustering – K-Means, Hierarchical
- PCA + Practical Scikit-Learn sessions
- Weeks 7–10: Deep Learning Essentials
- Neural Networks basics + Hands-on
- Backpropagation & activation functions
- TensorFlow/PyTorch introduction
- CNNs + Image Classification Project
- Weeks 11–14: Generative AI + NLP
- GAN fundamentals + implementation
- NLP basics, preprocessing, feature extraction
- Weeks 15–18: Advanced NLP + LLMs
- Transformers & Attention model
- Large Language Models: GPT, BERT
- 2 Generative AI practical projects
- Final AI/ML + GenAI Integrated Project
🌟 Personal Benefits
- Stronger analytical & problem-solving skills
- Confidence with Generative AI & ML tools
- Ability to build personal projects & automations
- Understanding the future of AI
💼 Professional Benefits
- Career readiness for AI/ML roles
- High demand skills in LLMs, Deep Learning & GenAI
- Strong portfolio with multiple projects
- Open opportunities in Data Science & ML Engineering
