Build AI systems that reason, act, and automate with confidence.
Months
Part-time
Projects
Portfolio
Tools
Industry-std
1:1
Mentorship
Personal
Agentic AI is the next evolution of artificial intelligence where systems do not just generate text but plan, reason, call tools, and act autonomously to complete real tasks. Companies are racing to build AI agents that automate operations, support customers, and power copilots. In just 4 months, you will learn how to design, build, and deploy production-ready agents using tools like LangGraph, OpenAI, and vector databases.
Curriculum
Each phase moves from competence building into portfolio-visible output.
Timeline
Weeks 1-4
Understand modern model capabilities, prompting, evaluation, and workflow framing.
Timeline
Weeks 5-8
Build grounded assistants with retrieval, chunking, and observability in mind.
Timeline
Weeks 9-13
Coordinate tools, memory, state, and multi-step action planning.
Timeline
Weeks 14-16
Turn the technical work into portfolio proof, demos, and hiring narrative.
Build production workflows around models, tools, memory, and orchestration used by leading AI-first teams.
$95,000
starting pay for
AI Engineers
Own assistant, copilot, and retrieval-powered product surfaces at scale.
$85,000
starting pay for
LLM Application Developers
Bridge product thinking with AI engineering to ship end-user features with measurable impact.
$110,000
starting pay for
AI Product Engineers
Design task-running pipelines for internal ops and customer-facing flows.
$75,000
starting pay for
Automation Systems Builders
Sources: Glassdoor.in
and LinkedIn Salary Insights
Select a market benchmark to view salary estimates at different experience stages.
Global Benchmark Salary
Global Benchmark Salary
Global Benchmark Salary
Global Benchmark Salary
Source: LinkedIn Salary Insights and Glassdoor.com
A clear picture of the professional profile you will build over the program.
$95,000
Expected salary
Hard Skills
Soft Skills
Education
Projects
Autonomous Research Agent
Built a multi-step research agent with web search, planning, and citation, deployed to production.
Take an interactive tour inside our live coding platform, real-time code reviews, dynamic curriculum schedules, and career placement logs.
Free preview · No card · ~5 minutes
Grouping tools by what they enable keeps the learning story cleaner and more persuasive.
Core
Orchestration
Production
Real-World Applications
See how the curriculum of the **Agentic AI** program is directly applied in solving critical challenges across global sectors. Click any industry to view practice projects you can build.
“Autonomous clinical transcription and chart-summarization agents that plan, retrieve patient histories, draft diagnostic summaries, and suggest ICD codes for doctor approval.”
“Self-correcting code auditor agents that evaluate student assignments, explain syntax errors step-by-step, and recommend tailored lessons.”
“Autonomous investment research agents that comb through corporate earnings transcripts, evaluate SEC filings, and formulate portfolio adjustment recommendations.”
“Autonomous retail assistants that scan customer profiles, clarify fit styles, query inventory APIs, and generate customized outfits.”
“Autonomous procurement agents that monitor warehouse counts, select qualified parts vendors, and draft purchase orders.”
“Autonomous alert triage agents that investigate alerts, query host logs, scan files for malware, and draft incident reports.”
“Autonomous drone flight planning agents that schedule surveys, analyze raw images, and target fertilizer distribution.”
“Autonomous route management agents that coordinate freight bookings, resolve delay issues, and re-route deliveries.”
“Autonomous copywriter agents that generate campaign scripts, check alignment with brand voice guidelines, and publish posts.”
“Autonomous inquiry routing agents that analyze citizen requests, retrieve relevant procedures, and draft guidance forms.”
“Autonomous drone flight planning agents that schedule surveys, analyze raw flight parameters, and target dynamic delivery coordinates.”
“Autonomous routing agents that reschedule deliveries and select carriers based on weather, congestion, and cost.”
“Autonomous research assistants that catalog formulation logs, draft safety data sheets, and update inventory lists.”
“Autonomous scheduling agents that assign excavators, track fuel budgets, and order structural concrete.”
“Autonomous document processing agents that scan client receipts, index transaction logs, and compile audit worksheets.”
“Autonomous catalog curators that recommend media assets, organize categories, and write video highlights.”
“Autonomous styling assistants that query inventory databases, match apparel items, and draft catalogs.”
“Autonomous survey drone planning agents that coordinate offshore inspections and log telemetry reports.”
“Autonomous inventory planning agents that schedule raw shipping dispatches, check shelf logs, and order ingredients.”
“Autonomous booking agents that schedule flights, recommend hotel rooms, and compile custom travel itineraries.”
“Autonomous software testing agents that execute test scripts, analyze stack traces, and submit bug tickets.”
“Autonomous document indexing agents that scan client receipts, extract clauses, and draft legal filings.”
“Autonomous scheduling agents that assign excavators, track fuel budgets, and order site materials.”
“Autonomous grant indexing agents that scan client receipts, index donor profiles, and draft audit worksheets.”
“Autonomous scheduling agents that assign grid assets, track maintenance budgets, and order turbine blades.”
“Autonomous property search agents that schedule tours, recommend listings, and compile custom leases.”
“Autonomous research assistants that catalog experiment logs, draft chemical descriptions, and update inventory lists.”
“Autonomous scheduling agents that assign grid assets, track maintenance budgets, and order replacement transceivers.”
The Agentic AI program is mapped to the AI-103 exam objectives, so finishing the cohort puts you on a clear path to a globally recognised Microsoft credential.
Aligned exam
AI-103 · Microsoft Certified: Azure AI Apps and Agents Developer Associate
Course modules align with the exam skills outline — Azure AI services, agent design, prompt and evaluation patterns, deployment.
Curated study guide, mock questions, and practice labs hand you the prep stack instead of leaving you to assemble it.
Add a verifiable Microsoft Certified credential to your LinkedIn that recruiters and employers already screen for.
A focused cohort for engineers and ambitious professionals who want to ship agentic workflows, retrieval systems, and production-aware AI experiences.
Move from feature delivery to AI system design with real product depth.
Learn how to prototype AI-native workflows without outsourcing the core thinking.
Translate existing development experience into a sharper AI profile.
The same trust-first system used on the homepage carries through to each program detail page.
01
Refine the story you tell about your background, projects, and direction.
02
Turn assignments into portfolio assets, case studies, and stronger proof.
03
Move into applications and interviews with clearer materials and tighter narratives.
