+1,200 Enrolled
60 Hours Training Duration
1 Capstone Project Hands-on Projects
5 Enterprise Agents Intelligent Agents Built
Up to $220k+ Salary Potential
20 Total Modules
None Required Prior AI Experience
A specialized, hands-on training program that teaches software engineers how to design and build intelligent, enterprise-grade multi-agent AI systems capable of executing complex workflow automations
We are currently preparing new batches for this course. Please check back later or contact us for more information.
Course Description
what will you get
Engage in 60 hours of comprehensive, instructor-led Agentic AI training.
Gain practical experience through the hands-on implementation of multi-agent workflows.
Learn to build a complete system featuring supervisor (orchestrator) agent design, NLP-based intent and entity extraction, safe database agent development, and automated reporting with email agent integration.
Master the fundamentals and practical integration of the Model Context Protocol (MCP) to standardize tool connectivity.
This program provides hands-on experience in building end-to-end AI agent workflows, moving from single intelligent agents to enterprise-grade multi-agent systems.
Concepts
● What is Agentic AI vs chatbot AI
● Where agents are used in software engineering
● What you’ll build in this course (multi-agent pipeline)
Lab
● Run and observe a sample agent workflow
● Identify “goal → plan → action → output” in a guided demo
Concepts
● Tokens, context, prompts (simple explanation)
● Why LLMs fail (hallucinations, ambiguity)
● How agents reduce errors with tools + steps
Lab
● Compare normal prompts vs structured prompts
● Create a “task checklist prompt” for reliability
Concepts
● Role prompts, constraints, output formats
● Task decomposition and chaining
● Consistency with templates
Lab
● Build an agent-style prompt template
● Validate with 3 different use cases
Concepts
● Agent components: planner, tool layer, memory, output
● Stateless vs stateful agents
● Observability: logs and trace thinking (beginner approach)
Lab
● Draw your agent architecture
● Simulate agent loop steps using a guided worksheet
Concepts
● Goal-based planning
● ReAct-style thinking (simplified)
● Guardrails: what agents must NOT do
Lab
● Build a basic planning agent
● Add “stop conditions” and “fallback response”
Follow these simple steps to earn your professional certification and validate your expertise.
This beginner-friendly course is ideal for freshers, engineering and IT students, software developers, QA professionals, and anyone interested in transitioning into AI automation. It requires no prior AI experience, making it perfect for learners with basic computer knowledge and logical thinking skills.
COMMON QUESTIONS
Yes, it starts with AI and agent fundamentals explained in simple terms before moving into structured multi-agent implementations
No advanced programming is required as the course focuses on structured workflows and guided labs.
No prior AI or machine learning experience is required; the course begins with LLM fundamentals and gradually builds toward advanced agent architectures.
Absolutely; software developers, QA engineers, and automation engineers can transition into Agentic AI roles after this training.
Yes, engineering and computer science students can build strong AI portfolios through the capstone project.
Only basic computer knowledge and logical thinking abilities are necessary.
It is helpful but not mandatory to start the program.
Freshers, engineering graduates, software developers, and IT professionals transitioning into AI automation.
No, the program includes a dedicated module on LLM fundamentals specifically for freshers.
It is designed for learners from BCA, B.Sc, MCA, and Engineering backgrounds.
Skills Covered
FOR Agentic AI Developer
for Agentic AI Developer
Skilled Agentic AI professionals are in high demand globally. Earning this certification unlocks highly competitive compensation, with starting salaries typically ranging from $90k to $100k, and senior roles scaling rapidly to $220k and beyond.
This Agentic AI training empowers professionals to build structured, reliable AI systems capable of task delegation, data retrieval, reporting automation, and workflow execution
Gain practical experience in building multi-agent systems.
Build portfolio-ready AI automation projects.
Understand planning, tool usage, and memory design.
Develop structured workflow engineering skills.
CERTIFICATION
After finishing Nevolearn's Agentic AI Developer Training course, you'll earn an industry-recognized professional certificate. This certificate is designed for sharing on LinkedIn, allowing you to highlight your accomplishments and share your new skills with your network.
Validating your expertise with a professional certification helps you stand out in the job market and provides tangible proof of your commitment to continuous learning and professional growth.
TESTIMONIALS
Agentic AI Developer Training for Software Engineers is a specialized, hands-on program designed to help learners build intelligent, goal-driven AI systems that can plan, execute, retrieve data, generate reports, and automate workflows.
As organizations rapidly move beyond simple chatbot implementations, professionals with real expertise in AI Automation and Multi-Agent Systems are in high demand. This program focuses on designing and building complete, enterprise-style architectures, including a Supervisor Agent, NLP Agent, Database Agent, Reporting Agent, and Email Agent. Learners will master Agent Architecture and Multi-Agent Orchestration to create seamless end-to-end pipelines.
Unlike traditional Generative AI courses that focus only on Prompt Engineering , this program emphasizes action-driven development. Participants will dive deep into LLM Fundamentals , Planning Patterns , and Tool Integration to design reliable agent control loops and manage structured decision-making. The course also introduces the Model Context Protocol, a modern standard for connecting AI agents to resources. By mastering practical MCP Integration inside an agent workflow, learners understand how enterprise systems standardize connectivity.
Ultimately, you will build a production-style multi-agent pipeline capable of complex Workflow Automation. Whether you are transitioning from traditional software roles or looking to upgrade your skills, this comprehensive training prepares you for advanced career tracks, equipping you with the exact capabilities needed to succeed as an AI Automation Engineer or an AI Solutions Engineer.
Learn to build enterprise-ready Agentic AI systems with Supervisor, NLP, DB, Reporting & Email Agents.
