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Low-friction intros and fundamentals for learners who need a strong first step.
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Courses focused on agent systems, orchestration, tooling, and practical deployment patterns.
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Enroll in IIT Bombay’s ePGD in CSE and gain expertise in Computer Science & Engineering. Upgrade your skills with IIT Bombay’s online Computer Science course and advance your career today!
University and industry AI programs discoverable through approved catalog surfaces.
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Interactive data science, ML, NLP, and generative AI learning paths.
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AI, ML, and postgraduate learning programs from Great Learning.
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Coverage spanning LLMs, agents, RAG, product strategy, MLOps, and more.
Learners who want structure, deadlines, and instructor momentum.
23 weeks
Live
Advanced
Certificate available
English (US)
fresh
Official-source checked
This course introduces project management fundamentals and shows how AI improves everyday project work. You’ll will be introduced to the phases of project management and project lifecycle, and ways to manage projects from start to finish. The course also explains how AI supports mphasizes the importance of AI and shows how can Copilot be used to make project management tasks easier. Through a hands-on activity using Microsoft Copilot, you’ll see how AI helps simplify project tasks and improve team coordination. You will also receive a certificate to showcase your project management and AI skills, helping you build confidence for today’s AI-driven workplace.
Learners who want structure, deadlines, and instructor momentum.
2.25 hours
Live
Advanced
Certificate available
English (US)
fresh
Official-source checked
Use Google's Antigravity CLI to orchestrate dynamic subagents that clean, analyze, and visualize a dataset in parallel, producing an interactive HTML dashboard.
Learners who want structure, deadlines, and instructor momentum.
6 hours
Live
Advanced
Certificate not stated
English
fresh
Official-source checked
High-coverage topics deserve fast navigation because they are usually where first-time visitors begin comparing options.
ML foundations, supervised learning, and model evaluation.
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Large language models, prompting, and agent foundations.
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Agentic workflows, tools, MCP, and orchestration.
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Testing, evaluation, and responsible measurement for AI systems.
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Retrieval-augmented generation, search, grounding, and indexing.
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Vision models, multimodal systems, and perception workloads.
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