Complete Learning Path
AI & Prompt Engineering Curriculum
Master the foundations of Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Prompt Engineering, and business-focused AI applications through a structured, industry-relevant learning journey.
MODULE 01
Intro to AI & Ethics
- History, ML vs DL concepts
- Industry Case Studies
- AI Ethics & Governance
- Future Research Trends
MODULE 02
Machine Learning Fundamentals
- Supervised & Unsupervised Learning
- Reinforcement Learning (Q-learning)
- Evaluation: Precision, Recall, Accuracy
MODULE 03
Deep Learning & Neural Nets
- Backpropagation & Gradient Descent
- CNNs for Image Processing
- RNNs for Sequence Prediction
- TensorFlow & Keras Hands-on
MODULE 04
Natural Language Processing
- Tokenization & Feature Extraction
- Sentiment Analysis Models
- Advanced: BERT, GPT, Named Entity Rec
- spaCy & NLTK Practice
MODULE 05
Computer Vision
- Image Filtering & Edge Detection
- Object Detection (YOLO, R-CNN)
- Image Segmentation
- OpenCV Practical Labs
MODULE 06
Prompt Engineering Mastery
- Crafting Effective Prompts
- Dynamic Prompting Techniques
- ChatGPT Deep Dive
- Real-world Content Generation
MODULE 07
AI in Business Strategy
- Implementation & ROI
- Marketing, Sales & Segmentation
- Operations & Supply Chain Optimization
- Finance & Risk Management
MODULE 08
Hands-on Labs & Capstone
- Setting up PyTorch & Environment
- Data Preprocessing & Cleaning
- Model Deployment & Integration
- Final Capstone Project Presentation
Future-Proof Your Career
AI Career Opportunities
AI Prompt Engineer
NLP Solution Architect
AI Content Strategist
Automation Specialist
AI Ethics Consultant
Generative AI Specialist
Who Can Join