Industry-Ready AI and Data Science Programs
Live instructor-led courses in Generative AI, Machine Learning, MLOps and Data Science — learn by building real-world projects.
Showing 17 programs
Featured Programs
Data Analytics with AI
Master Excel, SQL, and Power BI with AI-driven automation to transform raw data into business decisions.
Data Science Gen AI
Become a full-stack data scientist with Python, machine learning, deep learning, LLMs and RAG for real-world AI systems.
3 MonthsGen AI For Developers
Build AI-powered applications — RAG chatbots, knowledge agents and automated workflows using modern LLM SDKs.
Gen AI Specialization
Master Generative AI end-to-end — multimodal AI, RAG, LLM fine-tuning, quantization and agentic deployment.
MLOP's
Deploy and scale ML workflows with versioning, CI/CD, model serving, monitoring and evaluation pipelines.
3 MonthsLLMOP's
Full GenAI lifecycle — prompt operations, RAGOps, agentOps, observability, governance and cost optimization.
4 MonthsAIOP's
Unified machine learning, deep learning and Generative AI operations — deployment, scaling, governance and automation at enterprise level.
AI Course with Placement
Career starter AI course — build LLM apps, RAG and agents, then prepare for interviews with a structured Placement Prep Kit.
3 MonthsAgentic AI
Build autonomous AI agents that plan, reason and execute tasks using external tools and APIs.
LLM Mastery
Strengthen core LLM engineering — embeddings, evaluation, scalable inference and knowledge workflows.
More Programs
Data Science with Machine Learning
Enter the machine learning world — Python, feature engineering, supervised and unsupervised modeling applied to real use cases.
Data Science with Deep Learning
Apply deep neural networks to language and vision applications with modern deep learning architectures.
Full Stack Data Science
Complete career track — analytics, machine learning, cloud, deployment and monitoring to deliver end-to-end AI.
Machine Learning Specialization
Hands-on machine learning — evaluation, tuning, interpretability and performance optimization for real deployments.
Deep Learning Specialization
Convolutional, recurrent and transformer architectures, plus generative models, to master deep learning foundations.
Computer Vision
Detection, segmentation and visual analytics with deployment optimized for real-time environments.
Natural Language Processing
Build language AI — embeddings, transformers, information extraction and conversational systems.