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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.

17 Programs
1–10 Months
Live Online Classes

Showing 17 programs

Featured Programs

Data Analytics with AI5 Months
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
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Data Science Gen AI6 Months
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
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Gen AI For Developers3 Months
Specialization

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
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Gen AI Specialization5 Months
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
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MLOP's6 Months
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
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LLMOP's3 Months
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
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AIOP's4 Months
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
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AI Course with Placement4 Months
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
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Agentic AI3 Months
Specialization

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
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LLM Mastery2 Months
Specialization

LLM Mastery

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

LLM FundamentalsTokenization and EmbeddingsFine-tuning and PEFT+3 more
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More Programs

Data Science with Machine Learning5 Months
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
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Data Science with Deep Learning7 Months
Specialization

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
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Full Stack Data Science10 Months
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
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Machine Learning Specialization1 Month
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
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Deep Learning Specialization3 Months
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
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Computer Vision2 Months
Specialization

Computer Vision

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

Image ProcessingObject DetectionSegmentation+3 more
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Natural Language Processing2 Months
Specialization

Natural Language Processing

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

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