Book a Career Call

All Programs

Industry-Ready AI & Data Science Programs

Live instructor-led courses in Generative AI, Machine Learning, MLOps and Data Science. Learn by building real projects, guided by practitioners who work in the field every day.

17Programs

1–10 MonthsDuration Range

LiveOnline Classes

Showing 17 programs

Featured Programs

Data Analytics with AI

5 MonthsFeatured

Beginner FriendlyCareer Track

Data Analytics with AI

Master Excel, SQL, and Power BI with AI-driven automation to transform raw data into business decisions.

Excel and Power BISQL for Data AnalysisData Cleaning and EDA+3 more

Data Science Gen AI

6 MonthsFeatured

Beginner FriendlyCareer Track

Data Science Gen AI

Become a full-stack data scientist with Python, machine learning, deep learning, LLMs and RAG for real-world AI systems.

Python for Data ScienceCore Machine LearningDeep Learning Foundations+3 more

Gen AI For Developers

3 MonthsFeatured

Gen AI For Developers

Build AI-powered applications — RAG chatbots, knowledge agents and automated workflows using modern LLM SDKs.

Foundations for GenAI ApplicationsAPI and SDK IntegrationRAG Pipelines+3 more

Gen AI Specialization

5 MonthsFeatured

Career TrackArchitect Level

Gen AI Specialization

Master Generative AI end-to-end — multimodal AI, RAG, LLM fine-tuning, quantization and agentic deployment.

Advanced LLM ArchitecturesVision-Language and Multimodal ModelsRAG Design Patterns+3 more

MLOP's

6 MonthsFeatured

SpecializationArchitect Level

MLOP's

Deploy and scale ML workflows with versioning, CI/CD, model serving, monitoring and evaluation pipelines.

Docker and ContainerizationKubernetes for ML ServicesData and Model Versioning+3 more

LLMOP's

3 MonthsFeatured

SpecializationArchitect Level

LLMOP's

Full GenAI lifecycle — prompt operations, RAGOps, agentOps, observability, governance and cost optimization.

LLM Serving and ScalingPrompt Versioning and GovernanceRAG in Production+3 more

AIOP's

4 MonthsFeatured

Architect Level

AIOP's

Unified machine learning, deep learning and Generative AI operations — deployment, scaling, governance and automation at enterprise level.

Traditional ML OperationsDeep Learning in ProductionLLMOps and AgentOps Foundations+3 more

AI Course with Placement

4 MonthsFeatured

Beginner FriendlyCareer Track

AI Course with Placement

Career starter AI course — build LLM apps, RAG and agents, then prepare for interviews with a structured Placement Prep Kit.

Python for AILLM App DevelopmentRAG Pipelines+3 more

Agentic AI

3 MonthsFeatured

Agentic AI

Build autonomous AI agents that plan, reason and execute tasks using external tools and APIs.

Agent and Tool DesignMulti-agent OrchestrationLangGraph and AutoGen Workflows+3 more

LLM Mastery

2 MonthsFeatured

LLM Mastery

Strengthen core LLM engineering — embeddings, evaluation, scalable inference and knowledge workflows.

LLM FundamentalsTokenization and EmbeddingsFine-tuning and PEFT+3 more

More Programs

Data Science with Machine Learning

Beginner Friendly

Data Science with Machine Learning

Enter the machine learning world — Python, feature engineering, supervised and unsupervised modeling applied to real use cases.

Python EssentialsSupervised LearningUnsupervised Learning+3 more

Data Science with Deep Learning

Data Science with Deep Learning

Apply deep neural networks to language and vision applications with modern deep learning architectures.

Neural Network FoundationsConvolutional NetworksRecurrent Networks+3 more

Full Stack Data Science

Architect Level

Full Stack Data Science

Complete career track — analytics, machine learning, cloud, deployment and monitoring to deliver end-to-end AI.

Data Engineering WorkflowsAnalytics and BIMachine Learning and Deep Learning+3 more

Machine Learning Specialization

Machine Learning Specialization

Hands-on machine learning — evaluation, tuning, interpretability and performance optimization for real deployments.

Core ML AlgorithmsRegression and ClassificationClustering and Anomaly Detection+3 more

Deep Learning Specialization

Deep Learning Specialization

Convolutional, recurrent and transformer architectures, plus generative models, to master deep learning foundations.

Neural Network ArchitecturesConvolutional and Recurrent ModelsGenerative Models+3 more

Computer Vision

Computer Vision

Detection, segmentation and visual analytics with deployment optimized for real-time environments.

Image ProcessingObject DetectionSegmentation+3 more

Natural Language Processing

Natural Language Processing

Build language AI — embeddings, transformers, information extraction and conversational systems.

Text Preprocessing and TokenizationWord Embeddings and TransformersNamed Entity Recognition+3 more