Agentic AI Developer Training for Software Engineers
Master Agentic AI by building real enterprise-grade multi-agent systems with Supervisor, NLP, Database (MCP), Reporting, and Email agents. Learn AI orchestration, workflow automation, tool integration, structured outputs, memory handling, testing, and debugging through a hands-on 60-hour certification program designed for future-ready AI engineers.
+1,200 Enrolled
Course Description
Agentic AI Developer Course Overview Overview
60 Hours
Course Duration
20 Structured Modules
Modules Covered
20+ Guided Lab Sessions
Hands-On Labs
End-to-End Multi-Agent System
Capstone Project
Why do Agentic AI Developer Training for Software Engineers at Nevo Learn
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
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
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 Training for Software Engineers 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
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”
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About Agentic AI Developer Training for Software Engineers Certification
Follow these simple steps to earn your professional certification and validate your expertise.
Enroll through official registration from Nevolearn
Complete 60 hours of instructor-led training
Participate in guided labs
Build a complete multi-agent capstone project
Present architecture & demo workflow
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Prerequisites
- Basic computer knowledge
- Logical thinking and problem-solving ability
- Familiarity with basic software workflows is helpful (not mandatory)
- No prior AI or machine learning experience required
- Willingness to learn structured, step-by-step system design
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Who should attend the Agentic AI Developer Training for Software Engineers training
This Agentic AI Developer Training is designed for freshers, engineering students, computer science and IT graduates, software developers, QA professionals, support engineers, and operations teams who want to transition into AI automation and multi-agent system development. It is ideal for beginners interested in AI workflow engineering as well as working professionals looking to upgrade their skills in AI orchestration, tool integration, and enterprise AI system design. No prior AI or machine learning experience is required. Anyone with basic computer knowledge and logical thinking ability can enroll and progressively build expertise in designing structured, action-driven AI systems.
Skills Covered
What Will You Learn?
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Set your teams up with this course
This Agentic AI Developer Training equips learners with the practical skills required to design, build, and deploy enterprise-ready multi-agent AI systems. Instead of focusing only on prompt engineering, the course emphasizes structured AI workflow engineering, orchestration logic, safe tool integration, and reliable automation patterns used in real-world applications.
Participants gain hands-on experience in building a complete Supervisor → NLP → Database (MCP) → Reporting → Email automation pipeline, helping them understand how modern AI systems plan tasks, retrieve validated data, generate structured reports, and execute automated notifications. The program strengthens problem-solving ability, system thinking, and architecture design skills required for scalable AI implementations.
For individuals, this certification enhances employability in high-demand roles such as Agentic AI Developer, AI Automation Engineer, and AI Workflow Engineer. For organizations, trained professionals can implement intelligent automation systems that reduce manual effort, improve reporting accuracy, standardize tool integrations, and increase operational efficiency through enterprise-grade AI solutions.
Transforming your team
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Meet the team that is invested in your success
Arjun Mehta
Artificial intelligence Instructor
Experience
1-3 Years
Experienced AI trainer specializing in Generative AI, Machine Learning, Deep Learning, prompt engineering, and practical AI solutions for business and...
Arjun Mehta
Artificial intelligence Instructor
Experience
1-3 Years
Experienced AI trainer specializing in Generative AI, Machine Learning, Deep Learning, prompt engineering, and practical AI solutions for business and...
CERTIFICATION
Earn a certificate on completion of this course
After finishing Nevolearn's Agentic AI Developer Training for Software Engineers 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.
Still have a question? Get in Touch with our Experts
TESTIMONIALS
What Learners are Saying
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Learn to design and build enterprise-ready multi-agent AI systems with Supervisor, NLP, Database, Reporting, and Email agents. Master workflow automation, structured outputs, memory handling, tool integration, and Model Context Protocol (MCP) through a hands-on, 60-hour certification program with a real-world capstone project.
This Agentic AI Developer Training is a comprehensive, hands-on Agentic AI Course designed for software engineers, students, and IT professionals who want to master AI Workflow Engineering and build production-ready multi-agent systems. Unlike traditional prompt-focused programs, this AI Automation Course emphasizes real-world system design, structured execution logic, and enterprise AI implementation.
Through this AI Orchestration Course, you will learn how to design and manage intelligent multi-agent workflows including Supervisor, NLP, Database, Reporting, and Email agents. The training covers Multi-Agent Systems Training, AI Workflow Automation, AI Tool Integration, and AI Control Loop Design, enabling you to build systems that plan tasks, use tools safely, validate structured data, and execute automated workflows reliably.
This program also includes MCP Integration Training as part of a complete Model Context Protocol Course, where you standardize tool and database connectivity using scalable enterprise patterns. You will explore Multi-Agent Architecture, AI Planning and Execution, AI Memory Management, and Structured Output AI techniques to reduce hallucinations and improve system reliability.
With modules dedicated to Supervisor Agent Training, NLP Agent Development, Database Agent Training, Reporting Automation with AI, and Email Automation with AI, learners build a full Supervisor → NLP → DB (MCP) → Reporting → Email automation pipeline.
As part of this Enterprise AI Training and AI Automation Engineer Course, you will complete a real-world AI Capstone Project Course, strengthening your expertise in LLM Application Development and understanding the evolution from Generative AI vs Agentic AI toward scalable Enterprise AI Systems Training.
This certification prepares you for high-demand roles in Agentic AI development, AI workflow engineering, Agentic AI Certification and enterprise AI automation.