Find the Right AI Course for Your Career or Engineering Goal

LLMOps

Best for: AI engineers and platform engineers

Production LLM serving, RAGOps, tracing, evaluation and governance.

LLM Mastery

Best for: AI/ML engineers wanting LLM depth

Embeddings, fine-tuning, evaluation and inference.

Machine Learning Specialization

Best for: Developers needing ML foundations

Focused ML fundamentals for engineers who need production-grade ML knowledge.

Deep Learning Specialization

Best for: AI engineers wanting deep learning depth

Neural network architectures, training optimization and production deployment.

Gen AI for Developers

AI Applications · Intermediate

Build production GenAI applications with RAG, agents, APIs and evaluation.

Best for: Software engineers

Gen AI Specialization

Advanced GenAI · Intermediate

Go deeper into modern Generative AI — fine-tuning, multimodal models, RAG and advanced LLM systems.

Best for: Experienced developers and AI/ML engineers

AIOps

Production AI · Advanced

Learn to deploy, observe and govern ML, LLM and autonomous-agent systems in production.

Best for: AI/ML engineers, platform engineers and technical leads

Agentic AI

Autonomous Systems · Intermediate

Build autonomous and multi-agent systems using tools, memory, orchestration and evaluation.

Best for: Developers and AI engineers

Forward Deployed Engineer

Customer Deployment · Advanced

Learn to turn real customer problems into deployed AI solutions — from discovery and architecture to implementation and production adoption.

Best for: Experienced software and AI engineers

MLOps

ML Platforms · Advanced

Build reliable ML pipelines, deployments, monitoring and retraining systems.

Best for: ML engineers, data engineers and DevOps/platform professionals

AI Engineering Career Program

AI Engineering · Beginner Friendly

Build from engineering fundamentals into modern AI development and deployment.

Best for: Freshers, graduates and software beginners

Data Analytics with AI

Data Analytics · Beginner Friendly

Analytics foundations for business and data roles with AI automation.

Best for: Freshers entering data and analytics roles

Data Science Gen AI

Data Science · Beginner Friendly

Data science foundations integrated with generative AI application development.

Best for: Freshers and career switchers entering data science

Full Stack Data Science

Full Stack · Beginner Friendly

Complete data science program from foundations through deployment and MLOps.

Best for: Career switchers wanting comprehensive data science training

LLMOps

Language Model Operations · Advanced

Production LLM serving, RAGOps, tracing, evaluation and governance.

Best for: AI engineers and platform engineers

LLM Mastery

Core LLM Engineering · Advanced

Embeddings, fine-tuning, evaluation and inference.

Best for: AI/ML engineers wanting LLM depth

Machine Learning Specialization

Machine Learning · Intermediate

Focused ML fundamentals for engineers who need production-grade ML knowledge.

Best for: Developers needing ML foundations

Deep Learning Specialization

Deep Learning · Intermediate

Neural network architectures, training optimization and production deployment.

Best for: AI engineers wanting deep learning depth

Data Science with Machine Learning

Data + ML · Intermediate

Python, ML and feature engineering for data-driven applications.

Best for: Data professionals and analysts

Data Science with Deep Learning

Deep Learning · Intermediate

Neural networks, computer vision and NLP for production AI.

Best for: Data scientists wanting deep learning

Computer Vision

Vision · Intermediate

Detection, segmentation and deployment of vision models.

Best for: AI engineers working with visual AI

Natural Language Processing

Language · Intermediate

Text processing, transformers and production NLP systems.

Best for: AI engineers working with text and language