Advanced AI Engineering
Design, train, and deploy production-grade, scalable AI systems including LLMs and generative AI.
🎯 Ideal For
Course Curriculum
This track includes 7 comprehensive courses
Flexible Learning: You can take any course individually or complete the entire track to earn the Certified Generative AI & MLOps Engineer.
Advanced Python for AI Engineering
Build production-ready ML systems and APIs.
Key Topics:
- •Advanced OOP: Scalable ML systems, data pipelines
- •Library Mastery: Deep NumPy, Pandas, Scikit-learn
- •Performance: Vectorization, profiling, optimization
- •API Development: FastAPI and Flask for model serving
Advanced Machine Learning
Master ensemble methods and model explainability.
Key Topics:
- •Feature Engineering: Advanced preprocessing and selection
- •Ensemble Models: Random Forests, XGBoost, LightGBM
- •Explainability (XAI): SHAP and LIME
- •Imbalanced Data: SMOTE and bias mitigation
Deep Learning Masterclass
In-depth study of modern deep learning architectures.
Key Topics:
- •Architectures: CNNs (ResNet), LSTMs, GRUs, Transformers
- •Training: Transfer learning, fine-tuning, optimization
- •Modern Models: BERT and GPT architecture
Generative AI & LLMs
Build RAG systems, fine-tune LLMs, and create AI agents.
Key Topics:
- •Transformer Deep Dive: Self-attention mechanism
- •RAG: Retrieval-Augmented Generation pipelines
- •Fine-Tuning: LLaMA, Gemini on custom datasets
- •Ecosystem: LangChain, vector databases (Chroma, Pinecone, FAISS)
- •Multi-modal AI: Text, images, audio
- •AI Agents: LangGraph, AutoGen frameworks
MLOps and AI Deployment
Deploy scalable ML systems to production.
Key Topics:
- •Containerization: Docker & Kubernetes
- •CI/CD for ML: GitHub Actions, Jenkins
- •Cloud Platforms: AWS SageMaker, GCP Vertex AI, Azure ML
- •Monitoring: Logging, monitoring, drift detection
Specialization Elective
Choose a domain specialization.
Key Topics:
- •Healthcare AI / Finance AI / Retail AI / Supply Chain AI
- •Domain-specific models and data
- •Regulatory challenges and compliance
Capstone: End-to-End AI Product
Build a complete production AI system.
Key Topics:
- •Full-Stack AI: Data pipeline → model → API → UI
- •Documentation: Production-quality docs and tests
- •Presentation: Demo value and technical architecture
Complete the Track, Earn Your Certification
Finish all 7 courses in this track to receive:
This industry-recognized certification validates your skills and demonstrates your expertise in advanced ai engineering to employers and clients.
Note: Individual courses do not include certification. Complete the full track to earn your certificate.
What You'll Get
Live Cohort Sessions
Learn with peers in scheduled live sessions with real-time interaction
Hands-On Projects
Build real-world applications with expert guidance and feedback
After-Class Discussion
Continue learning with dedicated Q&A and peer collaboration
Expert Feedback
Receive personalized feedback on all your projects and assignments
Ready to Start Learning?
Enroll in individual courses or commit to the full track for certification
Enroll →