Go beyond chatbots. Design, orchestrate, and deploy autonomous AI agents that perceive environments, use tools, collaborate with other agents, and complete complex multi-step tasks independently.
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Agentic AI is the frontier of software development. Here's who this program is designed for.
Experienced engineers who want to build production agentic systems and move into AI-native architecture roles.
Architects designing AI automation for business workflows who need hands-on agent engineering skills.
RPA professionals moving to AI agents — your automation intuition is valuable; this program upgrades the execution layer.
Machine learning engineers extending their skills to agentic architectures and multi-agent orchestration systems.
Founders and builders creating the next wave of autonomous AI products — from agent-first SaaS to vertical AI tools.
Engineers building the infrastructure that agentic systems run on — queues, event loops, observability, cost controls.
Salary data from 2024–2025 US placements, LinkedIn Salary Insights, and Glassdoor — not projections.
AI Startups · Enterprise
Fortune 500 · Consulting · Government
Cloud Providers · SaaS Platforms
Healthcare AI · Fintech · Legal Tech
Big 4 Consulting · IBM · Accenture
Manufacturing · Logistics · Finance
ReAct, Plan-and-Execute, multi-agent patterns — design agents that reason, act, and self-correct.
APIs, web search, code execution, database access — give your agents real-world capabilities.
Agent communication, task delegation, result aggregation — systems where agents coordinate at scale.
GPT-4o, Claude as the reasoning core of agent systems — prompting, context management, cost control.
Stateful agentic workflows, branching, loops — build with LangGraph, CrewAI, AutoGen, and Haystack.
Short-term, long-term, episodic memory with vector stores — agents that remember and learn from context.
Browser automation, web scraping, REST API consumption — agents that operate on the live internet.
asyncio, parallel agent execution, resource management — high-throughput production agent systems.
Guardrails, human-in-the-loop, observability, cost control — deploy agents responsibly at scale.
Choose between the 9-month Professional Certificate or the 12-month Post Graduate Program. Both are rigorous — the PGP goes deeper into agent research, cognitive architectures, and frontier agentic AI.
Deep dive into agent architectures used at research labs and AI-first companies, including hierarchical agents, reflexive systems, and tool-augmented language models.
Scrapes the web, synthesizes findings, and writes structured reports — end-to-end using GPT-4o + SerpAPI + Playwright.
4 specialized agents — triage, knowledge, escalation, and billing — coordinating via CrewAI and LangGraph.
Reviews GitHub PRs, suggests improvements, and runs tests automatically — integrated into a real CI/CD pipeline.
Finds suppliers, negotiates quotes, and drafts purchase orders autonomously — deployed on AWS Lambda.
Agents for collection, cleaning, analysis, and visualization working in sequence with shared memory state.
Build a full production agent system for your target industry — deployed live with monitoring, cost controls, and documentation.
Every mentor is actively working at a leading AI company. They bring current, production-grade knowledge into your sessions.
Leads agent architecture modules. Designs production agentic pipelines processing millions of tasks at Scale AI.
Leads multi-agent and production deployment modules. Builds autonomous systems for government and enterprise clients.
Leads enterprise automation modules. Runs the agent infrastructure powering Salesforce's AI product suite.
Leads multi-agent orchestration modules. Builds autonomous workflow platforms.
Mentors agent frameworks and tool-use. Core contributor to agent tooling.
Heads planning and memory modules. Builds agents that act in real software.
The multi-agent customer service system I built in the CrewAI module was the centerpiece of my interview at Scale AI. My hiring manager asked me to walk through how I handled agent state and conflict resolution — I knew every answer cold because we built it for production, not a demo. I had three offers within six weeks of graduating.
I came from UX design — I never imagined I could build autonomous agents from zero. The program made it approachable without dumbing it down. Within four months I was building real systems. Automation Anywhere hired me as an AI Product Engineer — a role that didn't exist three years ago.
The LangGraph module completely changed how I architect systems. I went from writing Airflow DAGs to building stateful, self-correcting agent pipelines. Salesforce brought me on specifically for that skill — and doubled my previous salary.
Agentic AI felt like science fiction until I built my first multi-agent system in the program. Salesforce hired me to build autonomous workflows for their platform.
I automated spreadsheets for a living. Now I build agents that reason and act. The orchestration and tool-use modules were ahead of anything else I could find.
Moving from rule-based RPA to true AI agents doubled my salary. The capstone — an agent that handles end-to-end support tickets — sealed my offer.
Building autonomous agents felt out of reach until the program's multi-agent capstone. Microsoft brought me on to build agentic workflows into their developer tools.
Book a free 30-minute career counselling session. We'll help you choose between PCP and PGP, plan your timeline, and answer every question you have.