AI & Machine Learning
Master the cutting edge of Artificial Intelligence and Machine Learning. From foundational concepts to deploying production-ready Generative AI solutions, this track empowers developers to lead the next wave of innovation.
Learning Objectives
Deconstruct the architecture of Large Language Models (LLMs)
Implement Retrieval-Augmented Generation (RAG) using LlamaIndex and LangChain
Establish robust ML Ops pipelines for production grade models
Optimize model inference and deployment at scale
Detailed Curriculum
Fundamentals of AI & Python for ML
- Linear Algebra & Calculus for ML
- Python Data Science Stack (NumPy, Pandas)
- Exploratory Data Analysis
Deep Learning & NLP
- Neural Network Architecture
- Transformers & Attention Mechanisms
- BERT, T5, and GPT Model Variants
Generative AI & LLMs
- Prompt Engineering & Optimization
- Fine-tuning LLMs on Custom Datasets
- Vector Databases & Semantic Search
Applied ML Ops
- Model Versioning with DVC
- Deployment with NVIDIA Triton & Bentoml
- Monitoring & Drift Detection
Stratoz AI Certified ML Specialist
Upon successful completion, you will receive an industry-recognized certification verified by Stratoz AI.
Prerequisites
- Proficiency in Python Programming
- Basic understanding of Statistics
- Familiarity with Cloud Computing concepts
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