AI& GenAI
Build Intelligent Systems with Machine Learning & LLMs
Duration
20-30 wks
Modules
5 total
Careers
6 paths
Mentors
4 experts
Prerequisites
Python Programming
Basic Mathematics
Linear Algebra Basics
Statistics Fundamentals
Learning Path
Module 012-3 weeks
Python for AI
Master Python, NumPy, Pandas, and data manipulation for AI/ML.
PythonNumPyPandasMatplotlibJupyter NotebooksData Wrangling
Module 024-5 weeks
Machine Learning Fundamentals
Learn supervised/unsupervised learning, classification, regression, and model evaluation.
Scikit-learnRegressionClassificationClusteringModel EvaluationFeature Engineering
Module 034-5 weeks
Deep Learning
Build neural networks with TensorFlow/PyTorch for image and text tasks.
TensorFlowPyTorchCNNsRNNsTransfer LearningModel Optimization
Module 044-5 weeks
Generative AI & LLMs
Master prompt engineering, fine-tuning, RAG, and building AI agents.
OpenAI APILangChainRAGPrompt EngineeringFine-tuningVector Databases
Module 053-4 weeks
Production AI Systems
Deploy AI models with APIs, monitoring, and scalable infrastructure.
FastAPIModel ServingMLOpsDockerMonitoringA/B Testing
Career Paths
Machine Learning Engineer
AI Researcher
Data Scientist
NLP Engineer
Computer Vision Engineer
AI Product Manager
Expert Mentors
Dr. Anil Verma
AI Researcher
Kavita Singh
ML Engineer at Google
Rohan Joshi
GenAI Specialist
Meera Das
NLP Expert
Begin Your
Evolution
Join the most elite community of engineers. We provide the roadmap, you provide the grind.
Enter The Arena