Agentic AI

Explore Agentic AI courses personalized for your role & experience level

600+ Instructors from

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Rating icon 4.91

EdgeUp: Agentic AI + Interview Prep

Build AI agents, automate workflows, deploy AI-powered solutions, and prep for the toughest interviews.

Rishabh Misra

Principal ML Engineer/Tech Lead
10 yrs
Rating icon 4.94

Applied Agentic AI Course

Master Agentic AI to build, optimize, and deploy intelligent AI workflows to drive efficiency and innovation.

Ahmed Elbagoury

Senior ML/Software Engineer
11 yrs
Rating icon 4.83

Applied Agentic AI for SWEs

Master Multi-Agent Systems, LLM Orchestration, and real-world application, with hands-on projects and FAANG+ mentorship.

Dipti Aswath

AI/ML Systems Architect
20 yrs
Rating icon 4.76

Applied Agentic AI for Data Engineers

Go from concepts to deployed multi-agent applications through live guided projects and flexible learning with weekly mentor...

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Soumasish Goswami

LLM Observability Engineering
9 yrs
Rating icon 4.82

Applied Agentic AI for PMs

Get hands-on with multi-agent systems, AI-powered roadmaps, and automated decision tools—guided by FAANG+ experts.

Praveen Kumar K

Principal Product Manager
20 yrs
Rating icon 4.82

Applied Agentic AI for TPMs

Gain real-world experience managing AI-powered programs, shaping tech strategies, and leading teams.

Shruti Goli

Sr. Product Manager II
12 yrs
Rating icon 4.82

Applied Agentic AI for EMs

Manage AI-centric engineering projects with confidence, using hands-on experience and mentorship from industry experts.

Ashish Desai

Head of Engineering
20 yrs
Rating icon 4.82

Agentic AI Pathway for SWEs

Learn how to design agentic systems that automate development tasks—from PR reviews to CI/CD and QA checks.

Kyle Cheng

Member of Technical Staff
12 yrs
Rating icon 4.82

Agentic AI Pathway for Tech

Learn how to apply Multi-Agent Systems and LLM Orchestration with hands-on projects and mentorship from FAANG+ experts.

Samwel Emmanuel

Sr. Solutions Architect, Data & AI
9 yrs
Rating icon 4.82

Applied Agentic AI: Low-Code

Master AI tools to build autonomous, decision-making agents that streamline business tasks across any domain.

Ahmed Elbagoury

Senior ML/Software Engineer
+11 yrs

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Interview Prep

Prepare for the toughest interviews with FAANG+ mentorship

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Interview Kickstart

10 Years of Upleveling Careers

$1.2M

Highest offer

$312,275

Average compensation package

700+

FAANG & Tier 1 mentors

66.5%

Average salary hike

40+

Courses tailored to tech roles

Trusted by 25,000+ Tech Professionals

Who’ve Transformed Their Careers

Upleveled with AI

The tutors are good, they bring in a lot of practical industry experience, they have good content and the mini projects are very well curated. IK is very receptive to feedback, and their Ops team is very efficient and responsive.

Ryan M. Lence

Senior Lead Architect

Pivoted to AI

The tutors are good, they bring in a lot of practical industry experience, they have good content and the mini projects are very well curated. IK is very receptive to feedback, and their Ops team is very efficient and responsive.

Orville Clarke

Sustainability Analyst

Upleveled with AI

The tutors are good, they bring in a lot of practical industry experience, they have good content and the mini projects are very well curated. IK is very receptive to feedback, and their Ops team is very efficient and responsive.

Dwaraknath Bakshi

Director, Software Engineering - AI Platforms

FAQs

You’ll learn how to design, build, and operate autonomous AI agents that can plan tasks, reason through problems, use external tools, and execute workflows with minimal oversight.
You’ll follow a structured path that starts with agent architecture, moves through reasoning patterns and tool integration, and ends with real-world deployment. Each module includes hands-on projects to reinforce every concept.
You’ll need an understanding of LLM behavior, task planning, tool calling, workflow design, and evaluation. The courses guide you through each layer so you can build systems that operate autonomously and reliably.
Yes. You’ll build agents using LangChain’s frameworks, learning how to manage memory, configure tools, and design multi-step decision workflows.
You’ll explore where LangChain shines, where it’s limited, and how it compares to alternative agent frameworks. This gives you a practical sense of when to use each one.
Yes. You’ll build full workflows that allow agents to plan, reason, use tools, retrieve data, and execute tasks from start to finish.
You’ll learn advanced prompting, behavior constraints, tool-use optimization, evaluation strategies, and best practices for making agents more reliable in real environments.
They help automate multi-step tasks like debugging, documentation, research, data processing, QA, and operational workflows. You’ll see how these patterns fit into daily engineering work.
You’ll build real-world agent projects that mirror challenges faced by engineering teams, including multi-agent pipelines, automated research agents, coding assistants, and workflow automation systems.
You’ll learn the architectural and design principles needed to create scalable, reliable, and predictable agents. The curriculum emphasizes deployment, evaluation, and real-world performance tuning.
Yes. You’ll learn how to manage resources, monitor agent performance, debug failures, and deploy agents in environments that require reliability and consistency.
Yes. You’ll build coordinated agents that collaborate, delegate tasks, and interact across workflows, similar to the agentic systems currently being tested and deployed at FAANG-scale organizations.
They are. FAANG teams increasingly need engineers who understand autonomous workflows, task planning, and agent-based automation, and these courses are designed to build exactly those capabilities.
Yes. You’ll learn how to integrate retrieval systems with agents so they can search, extract, and use external information to make better decisions.
You will. The courses teach you how to coordinate agent actions, manage workflow steps, and design systems where multiple agents work together efficiently.
You’ll learn planning strategies that break large, ambiguous objectives into structured steps. Agents you build will be able to execute these plans independently.
You’ll use structured reasoning strategies such as ReAct, plan-and-execute models, and tree-of-thought approaches that help agents make informed choices.
Yes. You’ll connect agents to APIs, dev tools, data systems, and workflow platforms so they can operate in real engineering environments.

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