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Certificate Program in Agentic AI Engineering

An activity-based, hands-on Agentic AI training program designed for practical learning.

Course Start Date: 4th Week of Every Month

This Certificate Program in Agentic AI empowers learners to build autonomous, goal-driven AI systems that can reason, plan, and act independently. Learn Agentic AI frameworks, multi-agent workflows, tool-using AI, memory systems, and real-world automation to design intelligent agents that deliver measurable business and technical impact.

Job-Ready Agentic AI Engineering Program

Overview | Training Options | Curriculum | Certification | Why Agentic AI Training from EarlyRise | FAQ's | Get In Touch

Agentic AI Certification Program
Overview

The Certificate Program in Agentic AI is designed to help learners build state-of-the-art AI agents that can intelligently automate real-world business requirements.
This Program is designed, developed, and delivered by industry veterans, enabling participants to gain practical, industry-relevant skills aligned with current AI adoption trends. Learners will gain hands-on experience through real-world projects, business use cases, and practical hands-on labs, ensuring strong conceptual understanding and real implementation exposure.

The program emphasizes building industry-grade Agentic AI Solutions using leading tools and frameworks applied across diverse industry scenarios. Upon successful completion, participants will receive a Program Completion Certificate in Agentic AI Engineering, validating their expertise and empowering them to advance their careers in AI, automation, and intelligent systems.

EarlyRise’s Certificate Program in Agentic AI Key Features
  • Instructor led online classes conducted by industry experts
  • Hands-On based Agentic AI Training
Benefits

skill Real Time Projects

skill Expert Faculty

skill Enhanced Skills

skill Improved Efficiency

skill Ethical Awareness

skill Career Advancement

skill Access to Tools

skill Ongoing Support

Course info
  • Course Date : 4th Week of Every Month
  • Time : Morning and Evening Batch
  • Duration : 50 Hours
  • Levels : Beginner to Intermediate
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Training Options

ONLINE TRAINING

30,000 + GST
  • Learn in an instructor-led online training class
  • One to one mentorship for doubt resolution
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CLASSROOM TRAINING

40,000 + GST
  • Classroom based training
  • One to one mentorship for doubt resolution
Enroll Now

CORPORATE TRAINING CUSTOMIZED BASED ON YOUR REQUIREMENTS

Customized to your team's needs

  • Customized learning delivery model (self-paced and/or instructor-led)
  • Flexible pricing options
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Agentic AI Engineering Curriculum

Eligibility

This course is suitable for:
• Students and fresh graduates aspiring to build a career in AI and automation
• Working professionals from IT, software development, data, cloud, or automation backgrounds
• Software Developers, architects, and technical leads looking to transition into Agentic AI roles
• Non-technical professionals with strong interest in AI agents and business automation
• Faculty members and trainers seeking to upskill in next-generation AI technologies

Pre-requisites

• Basic understanding of programming concepts (any one language such as Python, Java, or JavaScript is helpful but not mandatory)
• Willingness to learn, experiment, and work on hands-on projects

Course Content

1. AI & Generative AI Foundations
2. Python & API Foundations for AI
3. Fundamentals of Agentic AI
4. LangChain Development
5. LangGraph & Stateful Agents
6. CrewAI & Multi-Agent Systems
7. MCP & Tool Integration
8. Agentic RAG & GraphRAG
9. AI Safety & Guardrails
10.Workflow Automation & Deployment
11. Capstone Project
12. Future Trends & Career Opportunities

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Curriculum

Estimated Course Duration

50 Hours

Learners Commitment

8 hours per week

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What you will learn
  • Understand AI, ML, Deep Learning, and Generative AI concepts
  • Learn how Large Language Models (LLMs) work
  • Master prompt engineering fundamentals
  • Explore OpenAI, Gemini, and Claude ecosystems
  • Discover AI applications across industries
  • Understand Responsible AI and ethical considerations
Hands-on
  • Create and optimize prompts
  • Compare outputs from ChatGPT, Gemini, and Claude
  • Generate content using AI tools
  • Perform AI-assisted research and summarization
  • Practice prompt refinement techniques
Skills gained
  • AI & LLM Fundamentals
  • Prompt Engineering
  • Generative AI Tool Usage
  • AI-Assisted Research
  • Content Creation & Productivity Enhancement
What you will learn
  • Learn Python programming fundamentals
  • Understand variables, functions, and data structures
  • Work with APIs and JSON data
  • Connect AI models through APIs
  • Build foundations for AI-powered applications
Hands-on
  • Python coding exercises
  • OpenAI API integration
  • Process AI-generated responses
  • Build a simple AI application
  • Practice API integration workflows
Skills gained
  • Python Programming
  • API Integration
  • JSON Data Handling
  • AI Application Development
  • Debugging & Testing
What you will learn
  • Understand AI agents and their architecture
  • Learn memory, planning, and reasoning concepts
  • Explore tool-calling mechanisms
  • Understand the agent lifecycle
  • Design task-oriented AI systems
Hands-on
  • Design agent workflows
  • Build a simple AI agent
  • Implement memory and context retention
  • Demonstrate tool-calling capabilities
  • Create task automation flows
Skills gained
  • Agent Design Principles
  • Workflow Development
  • Reasoning & Planning
  • Memory Management
  • Agent Architecture Understanding
What you will learn
  • Understand LangChain architecture
  • Build chains and agents
  • Create reusable prompt templates
  • Manage conversational memory
  • Integrate external tools with AI applications
Hands-on
  • Build LangChain applications
  • Create prompt templates
  • Integrate third-party tools
  • Develop AI assistants
  • Test AI workflows
Skills gained
  • LangChain Development
  • Prompt Management
  • AI Workflow Creation
  • Tool Integration
  • Conversational AI Development
What you will learn
  • Learn LangGraph fundamentals
  • Design stateful AI agents
  • Create graph-based workflows
  • Implement multi-step reasoning
  • Orchestrate complex agent interactions
Hands-on
  • Build stateful AI agents
  • Design workflow graphs
  • Implement conditional logic
  • Create multi-step execution flows
  • Manage agent states
Skills gained
  • LangGraph Development
  • Stateful Workflow Design
  • Agent Orchestration
  • Multi-Step Reasoning
  • Complex Workflow Management
What you will learn
  • Understand CrewAI architecture
  • Design multi-agent systems
  • Define agent roles and responsibilities
  • Implement task delegation
  • Enable agent collaboration
Hands-on
  • Create AI agent teams
  • Assign specialized agent roles
  • Execute collaborative tasks
  • Build multi-agent workflows
  • Test agent coordination
Skills gained
  • Multi-Agent System Design
  • Agent Collaboration
  • Task Delegation
  • CrewAI Development
  • Workflow Coordination
What you will learn
  • Understand Model Context Protocol (MCP)
  • Learn tool integration concepts
  • Connect agents to data sources
  • Integrate external systems
  • Build enterprise-ready AI workflows
Hands-on
  • Connect AI agents to external tools
  • Integrate APIs and databases
  • Build MCP-powered workflows
  • Test data connectivity
  • Demonstrate tool orchestration
Skills gained
  • MCP Fundamentals
  • Tool Integration
  • Data Connectivity
  • API & Database Integration
  • Enterprise AI Integration
What you will learn
  • Understand Retrieval-Augmented Generation (RAG)
  • Learn vector database concepts
  • Explore semantic search techniques
  • Build Agentic RAG workflows
  • Understand GraphRAG architectures
Hands-on
  • Build document-based AI assistants
  • Create vector embeddings
  • Query knowledge bases
  • Develop retrieval workflows
  • Implement semantic search
Skills gained
  • Retrieval-Augmented Generation (RAG)
  • Vector Database Management
  • Semantic Search
  • Knowledge Management
  • Enterprise Search Solutions
What you will learn
  • Learn Responsible AI principles
  • Understand AI risks and limitations
  • Explore prompt injection attacks
  • Implement guardrail frameworks
  • Understand compliance and governance requirements
Hands-on
  • Test AI vulnerabilities
  • Apply content moderation controls
  • Implement AI guardrails
  • Conduct risk assessments
  • Evaluate AI safety measures
Skills gained
  • AI Risk Management
  • Secure AI Development
  • Responsible AI Practices
  • Governance & Compliance Awareness
  • AI Safety Implementation
What you will learn
  • Understand N8N workflow automation
  • Learn LLMOps concepts
  • Explore Docker fundamentals
  • Build automated AI workflows
  • Deploy AI applications to production
Hands-on
  • Build workflows using N8N
  • Automate business processes with AI
  • Dockerize AI applications
  • Perform deployment exercises
  • Configure production-ready workflows
Skills gained
  • Workflow Automation
  • N8N Development
  • Docker Fundamentals
  • AI Deployment
  • LLMOps & Production Operations
What you will learn
  • Design and build a complete Agentic AI solution
  • Apply AI agents to real-world business use cases
  • Integrate tools, APIs, and knowledge bases
  • Deploy and test production-ready AI applications
  • Present and showcase an industry-relevant project
Project Options
  • AI Customer Support Agent
  • AI Recruitment Assistant
  • AI Research & Knowledge Assistant
  • AI Sales Automation Agent
  • AI Content Generation Platform
  • Multi-Agent Business Workflow System
Hands-on
  • End-to-end solution design
  • AI agent development
  • Tool and API integration
  • Knowledge base integration
  • Deployment and testing
  • Final project presentation and demonstration
Skills gained
  • End-to-End Agentic AI Development
  • Solution Architecture
  • Project Implementation
  • Industry Use Case Experience
  • Portfolio-Ready Project Development
Career Outcomes
  • Agentic AI Developer
  • GenAI Application Developer
  • Entry-Level LLM Engineer
  • AI Solutions Consultant
  • AI Product Associate
  • AI Innovation Specialist

TOOLS TO COVER

python
ChatGPT
google
claude
LangGraph
LangChain
CrewAI
N8N
Docker
FastAPI
certificate

Professional Certificate From EarlyRise

Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills and knowledge in Agentic AI. It serves as a testament to their expertise and is valued by industry professionals and employers.

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Program Fee and Payment Method

Program Fee (Online) : Rs. 30,000 + 18% GST = Rs. 35,400

Candidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD

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Career Service

Mock Interview Preparation

EarlyRise has collaborated with industry experts to ensure you can get through the interview preparation just like the real ones.This service is free of cost for Cloud and Program.

Resume Building

Recommendation to make your resume stand out in the crowd. Qualitative feedback to customize your existing resume to nail the job you desire.

One on One Career mentoring

One-on-One sessions with personalized attention with highly experienced industry professionals to guide you on the career path that's just right for you. Precise suggestions on setting achievable short and long term goals.

Does this sound interesting to you ?

Our team will be happy to assist you make the right decision

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Why Agentic AI Training from EarlyRise?

Industry Recognised Certification

EarlyRise Training Certificate

Certificate of Completion

Hands-On Project Based
Learning

Industry-Relevant Use Cases

Practical based training approach

Learn from experts active in their field

Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.

Nominal Course Fee

Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.

FAQ's

No. The course starts with AI fundamentals and Python basics before progressing to advanced topics such as Agentic AI, LangChain, LangGraph, CrewAI, RAG, and workflow automation. Basic computer literacy is sufficient to get started.

You will gain hands-on experience with:

  • Python
  • OpenAI APIs and LLMs
  • LangChain
  • LangGraph
  • CrewAI
  • MCP (Model Context Protocol)
  • RAG & GraphRAG
  • Vector Databases
  • N8N
  • Docker
  • AI Safety & Guardrails Frameworks

Yes. Throughout the course, you will complete practical exercises, case studies, and a capstone project. You can choose from industry-relevant projects such as AI Recruitment Assistants, AI Sales Agents, Customer Support Agents, Research Assistants, and Multi-Agent Workflow Systems.

By completing the course, you will be able to:

  • Build AI-powered applications using APIs
  • Develop Agentic AI systems
  • Create multi-agent workflows
  • Implement RAG and knowledge retrieval systems
  • Integrate external tools and data sources
  • Deploy AI solutions using Docker and automation platforms
  • Apply AI safety and governance best practices

Yes. The capstone project is designed to help you build a portfolio-ready Agentic AI solution that demonstrates your technical skills and can be showcased to potential employers or clients.

This course prepares you for emerging AI-focused roles, including:

  • Agentic AI Developer
  • GenAI Application Developer
  • AI Automation Specialist
  • Entry-Level LLM Engineer
  • AI Solutions Consultant
  • AI Product Associate
  • AI Innovation Specialist

These roles are increasingly in demand as organizations adopt Generative AI and Agentic AI solutions across business functions.

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Salient Features of the Course

  • Comprehensive curriculum covering Generative AI, Agentic AI, LangChain, LangGraph, CrewAI, MCP, RAG, GraphRAG, and AI deployment from beginner to advanced levels.
  • Strong hands-on learning approach with practical labs, case studies, and a capstone project focused on solving real-world business challenges using AI agents.
  • Covers modern AI agent development frameworks and technologies, including multi-agent systems, stateful workflows, tool integration, and enterprise-grade automation.
  • Focuses on building production-ready AI solutions with knowledge retrieval, workflow automation, Docker deployment, AI safety guardrails, and LLMOps best practices.
  • Industry-aligned training designed to help learners develop portfolio-ready projects and prepare for emerging roles such as Agentic AI Developer, GenAI Developer, AI Automation Specialist, and AI Solutions Consultant.