Agentic AI Development Course in Kerala
Design and deploy autonomous AI agents in 3 months. Master tool-using workflows and multi-agent systems with LangChain and CrewAI - from prompt engineering to production deployment.
Three Core Skill Tracks
Structured learning paths designed to take you from LLM fundamentals to production-ready autonomous agents.
LLM & Prompt Engineering Foundations
Understand how large language models work and how to prompt them for reliable, structured results.
- How LLMs work under the hood
- Prompt design & patterns
- Structured outputs
- Function & tool calling
Agent Frameworks - LangChain & CrewAI
Build single autonomous agents, equip them with tools and memory, and chain multi-step reasoning.
- Building single agents
- Giving agents tools & memory
- Chaining reasoning steps
- LangChain fundamentals
Multi-Agent Systems & Deployment
Orchestrate teams of agents that collaborate, communicate, and ship to production.
- Orchestrating multi-agent workflows
- Agent-to-agent communication
- Deploying agentic applications
- Production monitoring
Build Real Agents From Day One
No boring theory. You'll build practical, autonomous agents that reason, use tools, and collaborate. Each project is designed to teach you the agentic AI skills employers actually want.
Autonomous Research Agent
Build an agent that plans, searches the web, and synthesizes findings on its own.
Customer Support Agent with Tools
Give an agent real tools - order lookup, FAQs, ticket creation - and let it act.
Multi-Agent Content Pipeline
Orchestrate a crew of specialized agents that research, write, and edit together.
AI Task Automation Bot
Deploy an agent that automates repetitive workflows end-to-end.
from crewai import Agent, Task, Crew, Process
from langchain.tools import DuckDuckGoSearchRun
search_tool = DuckDuckGoSearchRun()
researcher = Agent(
role="Researcher",
goal="Gather the latest information",
tools=[search_tool],
verbose=True
)
writer = Agent(
role="Content Writer",
goal="Write clear, engaging summaries",
verbose=True
)
research_task = Task(
description="Research trending agent frameworks",
agent=researcher
)
write_task = Task(
description="Summarize findings into a report",
agent=writer
)
crew = Crew(
agents=[researcher, writer],
tasks=[research_task, write_task],
process=Process.sequential
)
# Deploy the multi-agent workflow
result = crew.kickoff()
print("Workflow complete! 🚀")Agentic AI Development & Multi-Agent Systems
3 Month Program • Beginner to Advanced • 4 Comprehensive Modules
LLM Foundations & Prompt Engineering
Understand how LLMs reason and how to prompt them reliably
Building Agents with LangChain
Build your first autonomous agents with tools and memory
Multi-Agent Systems with CrewAI
Orchestrate crews of agents that collaborate on complex tasks
Agent Deployment & Real Projects
Ship production-ready agentic applications
Job Roles You Can Land
Agentic AI skills feed straight into the fastest-growing job titles in AI - including the role Reuters just called "the hottest job in AI right now."
Forward Deployed Engineer
Embed with client teams to deploy autonomous agents directly into their workflows - the role driving AI hiring right now, per Reuters and Business Insider.
AI Agent Developer
Automation Engineer
LLM Application Developer
GenAI Engineer
Multi-Agent Systems Engineer
AI Workflow Consultant
Learn from Industry Experts
Get mentored by professionals who build real-world agentic AI applications every day.
.jpg)
Experience
Saravana Perumal
Python & GenAI Mentor
A hands-on LLM application engineer specializing in building autonomous agents and multi-agent workflows for real production systems. Saravana has designed agent architectures using LangChain and CrewAI that reason, call tools, and collaborate to complete complex tasks. His mentorship focuses on taking you from prompt basics to shipping deployable, autonomous AI applications. He believes the fastest way to learn agentic AI is to build agents that actually do useful work.
What Our Students Say
Verified feedback from learners in our AI-integrated programs.
"Excellent course structure and the mentors are extremely helpful. I learned a lot about AI agents and automation. The support for building my personal projects was outstanding."
Aijez Ajmal
Innovations Lead"As a Senior Software Tester, the Gen AI course was a game-changer for me. It simplified complex AI concepts and showed me exactly how to implement them in my daily workflow. Professional and simple."
Rajasree
Senior Quality Engineer"The real-world project experience I gained at Blackbox Learning was invaluable. The mentors don't just teach code; they teach you how to think like an engineer. Got placed at Brightwyn within weeks!"
Vaishna Viswanath
Full Stack DeveloperReady to Build Autonomous AI Agents?
3 months. 4 modules. Real autonomous agent projects.
Want 1-on-1 Personalised Training Instead?
Prefer a dedicated mentor over a fixed batch schedule? We also offer 1-on-1 personalised Agentic AI training as a premium track. Every session on LangChain, CrewAI, and multi-agent systems is paced around your background, so you move from prompt engineering to production deployment on your own timeline.
1-on-1 Mentorship
Premium, Limited-Seat Track- Only a few mentor slots open each month
- Personal reply within 24 hours on WhatsApp
- Flexible start date, built around your calendar
No advanced AI/ML background is required. Basic familiarity with Python is helpful, since we build agents in Python throughout. We start from how LLMs and prompting work before moving into agent frameworks like LangChain and CrewAI.
You'll be able to build autonomous research agents, tool-using customer support agents, multi-agent content pipelines, and task automation bots - using LangChain and CrewAI, deployed as real applications.
Yes! You'll receive an industry-recognized Agentic AI Certificate from BlackBox Learning with a unique verification ID. It's LinkedIn-ready and employer-accepted.
Most courses stop at prompting ChatGPT. We go further - you'll build real autonomous agents that reason, call tools, and work in multi-agent teams, with live mentorship and 6 hands-on projects throughout the program.
Forward Deployed Engineer, AI Agent Developer, Automation Engineer, LLM Application Developer, GenAI Engineer, AI Workflow Consultant - Forward Deployed Engineer alone was just named "the hottest job in AI right now" by Reuters, and demand for agentic AI skills is growing fast across every industry.
Blended format - live in-person sessions at our Thiruvananthapuram center, or join live online from anywhere in Kerala, including Kochi, Kozhikode, Kottayam and Thrissur, with full access to recordings, resources, and mentor support. Best of both worlds.
Book Your Free Demo Class
Share your details and our team will call you back within 24 hours.