Professional Diploma in Applied Artificial Intelligence (Stacked Certifications)
artificial-intelligence-ai.
Diploma Modules (Stacked Certifications):
Module 1: Foundations of Artificial Intelligence
History and branches of AI
Machine learning vs. deep learning
Core algorithms and problem-solving techniques
Module 2: Data Science with AI Focus
Data preprocessing and exploration
Predictive modeling and ML pipelines
AI-enhanced analytics for business and research
Module 3: Machine Learning & Model Building
Supervised and unsupervised learning
Model evaluation, tuning, and deployment
Scikit-learn, XGBoost, and ensemble methods
Module 4: Deep Learning & Neural Networks
Fundamentals of neural nets and backpropagation
CNNs, RNNs, LSTMs, and attention mechanisms
Frameworks: TensorFlow, PyTorch
Module 5: Natural Language Processing (NLP)
Text preprocessing and word embeddings
Sentiment analysis, chatbots, and language models
Transformers (BERT, GPT) and prompt engineering
Module 6: Computer Vision with OpenCV
Image processing and feature extraction
Object detection and facial recognition
Real-time camera-based AI apps
Module 7: AI Tools, Platforms & Deployment
Building and testing APIs
MLOps, Docker, Flask, and cloud deployment
AutoML and no-code AI tools
Module 8: Ethics, Fairness & Governance in AI
Bias detection and mitigation
AI laws, data privacy, and explainability
Building responsible and transparent systems
Module 9: AI Applications in Industry (Choose Any)
AI in Healthcare
AI in Finance & FinTech
AI in Marketing & Customer Intelligence
AI in Education & EdTech
AI in Supply Chain and Logistics
AI in Smart Cities
(One or more specializations can be stacked depending on learner interest)
Module 10: Capstone: AI Innovation Project
Solve a real-world problem with AI
Submit a full AI product or research demo
Present results for diploma validation
🧠Master Study NLP Fundamentals: The Foundation of Language Understanding in AI
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