AI Agent Developer: Build Production-Ready AI Agents

The AI Agent Developer: Build Production-Ready AI Agents course focuses on developing intelligent agents using Python, LLM APIs, tool calling, memory, RAG, vector databases and MCP. You’ll work with LangChain, LangGraph and CrewAI to create workflows and multi-agent systems, followed by automation, testing, monitoring, security and deployment using FastAPI and Docker. The course includes coding assignments, practical projects and an enterprise capstone project.

Key Takeaways

Live Online
Classes
1 Month Program
24 Hours
Certificate
4.8 (230+ Reviews)
250+ Learners Enrolled

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    What This Course Covers

    • AI Agent Architecture – Understand agentic AI, architectures, reasoning loops, memory, tools, and orchestration.
    • LLMs & Agent Development – Build intelligent agents using LLMs, structured prompts, APIs, and function calling.
    • RAG & Knowledge Integration – Connect agents to documents, databases, vector stores, and external knowledge.
    • Tool Calling & Automation – Integrate APIs, web search, databases, and business tools into AI agents.
    • Testing & Production Optimization – Evaluate agent performance, handle hallucinations, improve reliability, and implement guardrails.
    • Production-Ready AI Agent Project – Build, deploy, monitor, and present a real-world AI agent as a final capstone project.

    Program Details

    Duration
    1 Month
    Total Hours
    24 Hours
    Per Week (Alternative Days)
    3 Days
    Total Classes
    12 Classes
    Hours per Class
    2 Hours
    Total Modules
    12 Modules

    Course Fee

    Offer Fee

    Save ₹₹5,000 (15% off)
    ₹54,999 Instant Enrolment

    Regular Fee

    ₹59,999 Full Payment
    Live Online Instructor-Led Classes
    Doubt Support & Mentorship
    Practical Assignments After Every Module
    Industry Projects & Capstone Project
    Course Completion Certificate
    Lifetime Access to Learning Resources

    Course Curriculum

    12 Modules 2 Levels

    Learning Outcome

    ✓ Build AI Agents using Python, LLM APIs and modern AI frameworks.
    ✓ Develop agents with tool calling, memory, RAG and structured outputs.
    ✓ Create stateful workflows using LangChain and LangGraph
    ✓ Build multi-agent systems and connect agents with external tools and services.
    ✓ Evaluate, secure, monitor and optimize AI Agents for production use.
    ✓ Deploy and scale production-ready AI agents with APIs, cloud platforms, monitoring, and reliable automation
    Start Your Generative AI Journey Today →

    Who Should Enrol?

    Students & Freshers
    Working Professionals
    Software & Python Developers
    Entrepreneurs & Founders
    Data Analytics & Data Scientists
    Digital Marketers & Content Creators
    AI/ML Engineers
    Researchers & Educators

    Course Highlights

    Live Instructor-Led Online Classes
    Guided Activities and Real World Tasks
    Assignments After Every Major Module
    Capstone Assessment and Certificate
    Doubt Support and Mentorship
    Small Batch Size for Better Attention
    Our FAQ

    Frequently Asked Questions

    Find clear answers to common questions about the Generative AI course, including coding requirements, practical learning, prompt engineering, AI tools, career applications, assignments, assessments, and the skills you can develop after completing the program.

    Contact Us

    This course is designed for learners who already understand AI Agents and want to move into development using Python, APIs and AI frameworks.

    Yes. Basic Python programming is required. The course includes a Python refresher, APIs, JSON, OOP basics and asynchronous programming.

    The course covers LangChain, LangGraph, CrewAI, OpenAI Agents SDK, MCP, RAG, vector databases and n8n, along with LLM APIs and deployment tools.

    Yes. The course covers tool calling, function calling, external APIs, search, email and calendar integrations, along with workflow automation.

    Ready to Build Your Career in Generative AI?

    Join 1,250+ learners and start your journey towards becoming an AI expert.