An AI agent is an LLM-powered system that perceives its environment, plans multi-step actions, calls external tools, and autonomously drives toward a defined goal — without constant human instruction.
Companies are rapidly replacing rule-based automation with LLM agents that can reason over unstructured data, adapt to changing contexts, and handle entire workflows end-to-end.
Agentic AI engineers are among the most sought-after professionals in 2025. Demand far outstrips supply — and CodEvo's program puts you at the bleeding edge of this skill gap.
Agentic AI is not a theoretical concept — it is already reshaping how software is built, how businesses operate, and what engineers are worth in the market. CodEvo's Agentic AI program is India's most current, hands-on curriculum for building autonomous AI systems with the exact frameworks and LLMs powering real products today.
You begin by mastering the LLM fundamentals that underpin all agentic behaviour — context windows, tool use, function calling, and prompt mechanics — before progressively learning to architect single-agent loops, multi-agent teams, RAG pipelines, memory systems, and finally full agent deployment on cloud infrastructure. Every session is grounded in building actual applications, not watching slides.
Whether you want to build an autonomous research assistant, a customer support agent that actually resolves tickets, a multi-agent content pipeline, or a code-writing copilot — this program teaches you the architecture, the frameworks, and the production engineering skills to ship it. Our instructors are actively building agentic systems professionally, not teaching from textbooks.
Updated monthly to reflect the latest releases in LangChain, CrewAI, OpenAI Assistants API, and Anthropic's Claude tool use. You always learn what's current.
Work hands-on with GPT-4o, Claude 3.5, Gemini 1.5, and open-source models like Llama 3 and Mistral — understanding when and why to choose each.
From autonomous research agents to multi-agent sales pipelines — every project is designed to showcase real engineering capability in your portfolio.
You don't just build agents in Jupyter — you deploy them with FastAPI, Docker, and cloud infrastructure so they actually run in production.
This program is designed for learners with some programming foundation. Python basics and familiarity with APIs are beneficial — no prior AI experience required.
Backend, full-stack, or data engineers who want to integrate AI agents into their products and position themselves for AI engineering roles.
Professionals with ML backgrounds looking to move beyond model training into building autonomous, reasoning AI systems that deploy in production.
Enterprise technology teams in BFSI, healthcare, retail, or logistics seeking to upskill on agentic automation to drive operational efficiency.
Startup founders and product managers who want to build AI-native products and understand agent architecture well enough to lead technical development.
Recent graduates with programming backgrounds who want to enter the job market with one of the most in-demand and highest-paid AI skill sets of 2025.
RPA and workflow automation professionals transitioning from rule-based tools like UiPath or Zapier to intelligent, LLM-powered agentic pipelines.
An 8-module curriculum progressing from LLM fundamentals and RAG through multi-agent systems, memory architectures, browser automation, and cloud deployment.
Every category of AI agent has distinct architecture patterns. You will build working examples of all of them throughout the course.
Autonomously searches the web, reads documents, synthesises findings, and produces structured research reports — replacing hours of manual research work.
LangGraph + TavilyAn LLM-powered agent connected to your product knowledge base, ticketing system, and CRM — it reads, reasons, and resolves support queries autonomously.
RAG + CRM ToolsAn agent that understands codebases, writes functions, runs tests, debugs failures, and iterates until the code passes — a true pair programmer.
Code Interpreter + GitConnects to databases, writes and executes SQL, creates visualisations, and explains insights in plain language — on demand, without a data analyst.
SQL + Pandas + PlotlyA multi-agent crew that researches a topic, drafts an article, fact-checks it, formats it, and posts it to a CMS — a full editorial workflow, automated.
CrewAI + WordPress APINavigates real websites, fills forms, scrapes dynamic content, monitors competitor pages, and summarises findings — like a digital employee browsing for you.
Playwright + GPT-4VEach project is a complete, deployable application — not a tutorial exercise. Your portfolio demonstrates real production-grade agent engineering.
A RAG-powered agent ingesting 100+ PDFs and responding to natural language queries with cited sources. Deployed as a Streamlit app with source highlights.
A CrewAI multi-agent system with a researcher, analyst, and writer agent. Given a topic, it searches the web, synthesises findings, and outputs a formatted PDF report.
An LLM agent connected to a knowledge base and ticketing system that classifies, routes, and resolves customer queries — escalating only when human judgment is needed.
An agent that connects to a PostgreSQL database, writes SQL from natural language, generates Plotly charts, and delivers executive-level business summaries on demand.
A Playwright-based web agent that monitors competitor websites, product pages, and pricing daily — then emails a structured diff report of what changed.
A long-memory personal agent that manages tasks, drafts emails, remembers context from past conversations, and proactively suggests actions based on your calendar and preferences.
A complete Agentic AI engineering skillset — covering LLM APIs, orchestration frameworks, memory, deployment, and safety for production systems.
Every tool below is used in production agentic systems at leading AI companies, startups, and enterprise technology teams worldwide.
The demand for Agentic AI engineers is growing faster than any other engineering discipline. Our graduates are placed in the roles defining the next decade of software.
Design, build, and deploy autonomous AI agent systems at AI-first startups, product companies, and consulting firms adopting LLM-based automation at scale.
₹12–28 LPA · Extreme DemandBuild production LLM-powered applications — chatbots, copilots, document intelligence, and workflow automation tools — for SaaS platforms and enterprise clients.
₹10–22 LPADesign end-to-end AI architecture for enterprises — selecting the right LLMs, agent patterns, RAG strategies, and deployment infrastructure for each use case.
₹18–35 LPA SeniorWork on frontier agent research at AI labs, university research groups, or corporate R&D teams exploring new agent architectures, benchmarks, and evaluation methods.
Research + IndustryHelp businesses identify, design, and implement AI agent solutions that automate workflows, reduce costs, and create competitive advantages across industry verticals.
High-Value ConsultingLaunch your own AI-native product — from a niche SaaS agent to a full automation platform — with the technical depth to build it yourself and the knowledge to lead a team.
Entrepreneurship TrackAgentic AI evolves every week. Our syllabus is updated monthly to reflect the latest framework releases, LLM capabilities, and production patterns.
You work with GPT-4o, Claude 3.5, Gemini 1.5, and Llama 3 — not locked into one provider. You understand trade-offs and choose intelligently for each task.
Every project is deployed — not just run in a notebook. You leave with live, accessible URLs to working agent applications you can show in interviews.
Taught by engineers actively building agentic systems at AI companies. You learn the real-world pitfalls, cost management tricks, and production patterns that no course covers.
Unlike most AI courses, we teach agent safety — prompt injection defence, output validation, cost guardrails, and human-in-the-loop patterns for responsible deployment.
Access CodEvo's proprietary library of production-tested agent templates, prompt libraries, and LangGraph workflow blueprints to accelerate your own projects.
Active connections to AI startups, product companies, and consulting firms specifically seeking Agentic AI engineers — a market segment with far more demand than supply.
Permanent access to all content, monthly update sessions, and a growing alumni network of Agentic AI practitioners across India and globally.
From your first conversation with our advisors to your first deployed AI agent — here is exactly how the journey unfolds.
Speak with our advisors to confirm you have the right foundation and understand the program track best suited for you.
Complete admission. Receive API sandbox access, dev environment setup guide, and your first pre-work resources.
Progress through 8 modules with weekly live sessions, project builds, code reviews, and framework deep-dives.
Complete all 8 agent projects. Deploy your capstone agent to production. Publish your GitHub portfolio.
Access AI-first hiring partners, mock interviews with technical panels, and direct referrals to land your role.
Enroll today and become one of the rare engineers who can build, deploy, and ship autonomous AI agents that solve real business problems in production.