Master Agentic AI by building real multi-agent systems with Supervisor, NLP, DB, Reporting, and Email agents. Learn workflow automation, MCP integration, testing, and deployment through structured, hands-on training designed for future-ready AI engineers.
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Build Enterprise Multi-Agent
Implement MCP-Based Tool
Integration
Design Secure AI Automation Workflows
Enterprise training for teams:
Agentic AI icon
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Some of the highlights of this course.
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
Course Description
Agentic AI Developer Course Overview
Agentic AI Developer Training for Software Engineers is a 60-hour, beginner-friendly program designed to help learners build end-to-end AI agent workflows, from single intelligent agents to enterprise-grade multi-agent systems.
This course focuses on practical implementation of agent architectures, including planning logic, tool integration, short-term and long-term memory design, structured outputs, and workflow automation. Learners progressively build a complete system consisting of a Supervisor Agent, NLP Agent, Database Agent, Reporting Generation Agent, and Email Notification Agent.
You will learn how agents break down goals into tasks, select tools safely, retrieve and validate structured data, generate business-ready reports, and automate email-based notifications with attachments. The course also introduces Model Context Protocol (MCP) to standardize tool and data connectivity within agent ecosystems.
Through guided hands-on labs in every module, learners build and integrate a fully functional multi-agent automation pipeline. By the end of this course, you will confidently design, test, debug, and present an enterprise-style Agentic AI system suitable for production-style environments.
what will you get
Key Features & Highlights
1
60-Hour Instructor-Led Training
Engage in 60 hours of comprehensive, instructor-led Agentic AI training.
2
Hands-On Multi-Agent Implementation
Gain practical experience through the hands-on implementation of multi-agent workflows.
3
Comprehensive Agent Design
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.
4
MCP 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.
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Why do Agentic AI Developer at Nevolearn
Experiential Learning
Learn like never before. Not just learning, you interact and gain real experience.
Get practical, real-world learning experience
Engage in interactive sessions and activities
Apply concepts through hands-on exercises
Skill Development
Build skills that matter. Go beyond theory and develop job-ready expertise.
Track and measure your skill progress
Identify strengths and areas for improvement
Gain industry-relevant knowledge and tools
Career Success
Achieve your career goals with structured learning and expert guidance.
Learn from industry experts and mentors
Prepare for certifications and real-world challenges
Boost your career growth with in-demand skills
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Agentic AI Developer Curriculum
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
●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”
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About Agentic AI Developer Certification
Follow these simple steps to earn your professional certification and validate your expertise.
1
Enroll through official registration from Nevolearn
Step 1
2
Complete 60 hours of instructor-led training
Step 2
3
Participate in guided labs
Step 3
4
Build a complete multi-agent capstone project
Step 4
5
Present architecture & demo workflow
Step 5
1
Enroll through official registration from Nevolearn
Step 1
2
Complete 60 hours of instructor-led training
Step 2
3
Participate in guided labs
Step 3
4
Build a complete multi-agent capstone project
Step 4
5
Present architecture & demo workflow
Step 5
6
Receive official Agentic AI Developer Certification
🎓 Certification
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Prerequisites
Basic computer knowledge
Logical thinking ability
No prior AI experience required
Basic understanding of software workflows is helpful but not mandatory
Willingness to learn step-by-step.
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Who should attend the Agentic AI Developer training
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.
Freshers and engineering graduates.
Computer Science / IT students
BCA / B.Sc / MCA learners
Professionals shifting into AI automation
Beginners interested in AI workflow engineering
Software Developers and Application Engineers
COMMON QUESTIONS
Agentic AI Developer FAQs
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
What Will You Learn?
Agent architecture design
Multi-agent orchestration
Planning and execution workflows
Tool integration patterns
Structured reporting automation
MCP-based integrations.
Workflow debugging & evaluation
Enterprise-style AI automation
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Soaring Demand and Accelerated Growth
Agentic AI Developer
Annual Salary
Workers/Salary
₹90KEntry-Level
₹115KJunior/Mid-Level
₹140KMid-Level
₹165KSenior-Level
₹185KLead/Principal
Hiring Companies
Designs and implements multi-agent AI systems integrated with tools and enterprise workflows.
FOR Agentic AI Developer
Annual Salary
Workers/Salary
₹90KEntry-Level
₹115KJunior/Mid-Level
₹140KMid-Level
₹165KSenior-Level
₹185KLead/Principal
Hiring Companies
Designs and implements multi-agent AI systems integrated with tools and enterprise workflows.
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.
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Set your teams up with this course
Group Discount Available
This Agentic AI training empowers professionals to build structured, reliable AI systems capable of task delegation, data retrieval, reporting automation, and workflow execution. Learners move beyond prompt-based AI experimentation and gain real-world experience in building AI systems that act, decide, and integrate with tools. Additionally, trained professionals can build internal AI automation pipelines and scalable architectures that reduce manual work and improve operational efficiency for organizations.
Top Companies Rely on Us to Upskill Their Workforce
BENEFITS
Transforming your team
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
Earn a certificate on completion of this course
After finishing Nevolearn's Agentic AI Developer 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.
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Still have a question? Get in Touch with our Experts
TESTIMONIALS
What Learners are Saying
4.8/5•3,666 Reviews
4.8/5•3,666 Reviews
4.8/5•3,666 Reviews
4.8/5•3,666 Reviews
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Move beyond prompt engineering and master real-world multi-agent AI systems. Build intelligent agents that plan, execute, retrieve data, generate reports, and automate workflows using MCP-integrated architectures. Enroll now and future-proof your AI career.