CONTACT FOR DEMO CLASS : (+91) 8951869553/52alternative

Certification Course in Agentic AI

This is activities based hands-on Agentic AI Training Program from EarlyRise

Course Start Date: TBD

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

Agentic AI Certification Training Course

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

Agentic AI Certification Course
Overview

The Certificate Course in Agentic AI is designed to help learners build state-of-the-art AI agents that can intelligently automate real-world business requirements.
This course 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 5+ real-world projects, 10+ business use cases, and 20+ practical hands-on labs, ensuring strong conceptual understanding and real implementation exposure.

The program emphasizes building industry-grade AI agents using 20+ leading tools and frameworks applied across diverse industry scenarios. Upon successful completion, participants will receive a Course Completion Certificate in Agentic AI, validating their expertise and empowering them to advance their careers in AI, automation, and intelligent systems.

EarlyRise’s Certificate Course in Agentic AI Key Features
  • Instructor led online classes conducted by industry experts
  • Simulation exams
  • 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 : Coming Soon
  • Time : Coming Soon
  • Duration : 40 Hours
  • Levels : Beginner
Social share

Training Options

ONLINE TRAINING

25,000 + GST
  • Learn in an instructor-led online training class
  • One to one mentorship for doubt resolution
Enroll Now

CLASSROOM TRAINING

30,000 + 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
Contact Us

Agentic AI 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
• Project managers, 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)
• Familiarity with AI/ML fundamentals or Generative AI concepts is recommended but not mandatory
• Basic knowledge of APIs, data handling, or cloud concepts is an advantage
• Willingness to learn, experiment, and work on hands-on projects

Course Content

1. Fundamentals of Agentic AI
2. Python for Agentic AI Development
3. Agent Architecture & Design
4. Tool-Using & Autonomous Workflows
5. Memory, Context & State Management
6. Agent Framework Implementation
7. Hands-On Agentic AI Projects
8. Capstone Project
9. Future Trends & Career Opportunities

Request more information
Social share

Curriculum

Estimated Course Duration

40 Hours

Learners Commitment

8 hours per week

Get Curriculum

What you will learn
  • What Agentic AI is and why it matters
  • Difference between:
      AI Agents
      Agentic AI
      Generative AI
      Traditional AI
  • How Agentic AI systems work
  • Single-agent vs multi-agent systems
  • Role of humans in AI decision-making
  • Popular Agentic AI frameworks
  • Ethical and responsible use of AI
  • Real-world examples and success stories
Hands-on
  • Identify real-world AI agent use cases
  • Explore popular Agentic AI frameworks
Skills gained
  • Clear understanding of Agentic AI concepts
  • Ability to identify where AI agents can be used
  • Awareness of ethical and responsible AI practices
What you will learn
  • How Agentic AI systems are designed
  • Common Agentic AI architecture types
  • Core components of an AI agent:
      Perception (input understanding)
      Thinking & reasoning
      Action & execution
      Learning & improvement
      Collaboration between agents
      Security & safety
  • Popular design patterns:
      Planning pattern
      Tool-usage pattern
      Reflection pattern
      ReAct & ReWOO patterns
      Multi-agent pattern
  • Design best practices for scalable and secure systems
Hands-on
  • Design an AI agent architecture
  • Implement different Agentic AI design patterns
Skills gained
  • Designing AI agent architectures
  • Applying agent design patterns
  • Building scalable and secure AI solutions
What you will learn
  • LangChain core components
  • Loading and processing documents
  • Text splitting and embeddings
  • Connecting with vector databases
  • LangChain Expression Language (LCEL)
  • Runnables and chains
  • Deploying AI workflows using LangServe
Hands-on
  • Build a self-correcting coding assistant using LangChain
Skills gained
  • AI-powered document processing
  • Building AI pipelines with LCEL
  • Retrieval-based AI applications
What you will learn
  • Introduction to LangGraph
  • State, memory, and workflow management
  • Short-term vs long-term memory
  • Managing agent state schemas
  • Human-in-the-loop (HITL) systems
  • Agent deployment strategies
Hands-on
  • Build a Finance AI Bot using LangGraph
Skills gained
  • Managing AI agent memory
  • Building state-driven AI agents
  • Deploying production-ready agents
What you will learn
  • What Agentic RAG is
  • Agentic RAG vs traditional RAG
  • Architecture and components of Agentic RAG
  • Adaptive and advanced RAG techniques
  • Real-world applications
  • Using LlamaIndex and Cohere for RAG
Hands-on
  • Build an AI Sales Report Analyzer using LlamaIndex
  • Create a Market Research Agent using RAG + Cohere
Skills gained
  • Implementing advanced RAG systems
  • Optimizing AI retrieval workflows
  • Building intelligent research agents
What you will learn
  • Phidata concepts:
      Agents
      Models
      Tools
      Knowledge sources
  • Chunking and embeddings
  • Vector databases and storage
  • AI workflows and automation
Hands-on
  • Design a Data Analysis Agent using Phidata
Skills gained
  • Creating AI agents with Phidata
  • Optimizing AI workflows and performance
What you will learn
  • What multi-agent systems are
  • Agent collaboration and coordination
  • Multi-agent workflows and design patterns
  • Multi-agent implementation using LangGraph
  • CrewAI fundamentals
  • Setting up CrewAI environments
  • Building collaborative agents
Hands-on
  • Build a Customer Support Chatbot using LangGraph
  • Create a Stock Analysis Agent using CrewAI
Skills gained
  • Designing multi-agent systems
  • Building collaborative AI workflows
  • Coordinating AI agents effectively
What you will learn
  • Introduction to Autogen
  • Agent roles and conversations
  • Human-in-the-loop interactions
  • Code execution by agents
  • Tool usage and conversation patterns
  • Deployment and monitoring
Hands-on
  • Develop an AI Research Agent using Autogen
Skills gained
  • Building adaptive AI agents
  • Managing agent conversations
  • Deploying Autogen-based solutions
What you will learn
  • Why AI observability is important
  • Langfuse overview:
      Dashboards
      Tracing
      Evaluation
      Prompt management
  • LangSmith setup and workflows
  • Experimentation and performance tracking
  • Practical AgentOps implementation
Hands-on
  • Monitor AI agents using LangSmith
  • Implement AgentOps practices
Skills gained
  • Monitoring AI agent performance
  • Managing AI workflows
  • Running AI experiments confidently
What you will learn
  • Introduction to no-code/low-code AI
  • Benefits and limitations
  • Drag-and-drop AI workflows
  • Integrating AI with existing systems
  • Performance optimization
  • Security and compliance
  • Real-world use cases and future trends
Hands-on
  • Build a Content Writer Agent using Wordware
  • Create an SEO Agent using Relevance AI
  • Build an AI agent using Langflow
Skills gained
  • No-code AI development
  • Workflow automation
  • Rapid AI agent deployment
What you will learn
  • AI deployment on:
      AWS Bedrock
      Azure OpenAI
      GCP Vertex AI
  • Serverless AI agents
  • Cloud-based RAG implementation
  • AI observability and governance
  • Fine-tuning LLMs on cloud platforms
  • No-code conversational AI on cloud
Hands-on
  • Build and deploy AI agents on:
      AWS
      Azure
      Google Cloud
  • Implement AgentOps practices
Skills gained
  • Cloud-based AI deployment
  • Managing AI agents at scale
  • Enterprise-ready AI solutions

TOOLS TO COVER

python
LlamaIndex
google
ollama
chroma-db
langwatch
langfuse
pinecone
autogen
phi-data
relevance-ai
word-ware
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.

Get In Touch


Program Fee and Payment Method

Program Fee (Online) : Rs. 25,000 + 18% GST = Rs. 29,500

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

Pay Now

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

Reach out to Us !

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

All classes conducted by Expert Faculty and Industry Experts.

Yes, If you are looking for free resources then read our blogs and posts from EarlyRise.

Professionals seeking a good career can start learning this course.

Yes, sure. At the end of this course you will get a course completion certification from EarlyRise which is so beneficial for you.

Yes Definitely!
In between the course journey, you will be asked to do many assignments and homework related to your course and its useful for interview time.

Totally 40 hrs.
The total course duration will be 40 hrs but there is no rush to complete the course

Sounds exciting ?

Please fill up the form below.

Salient Features of the Course

  • Covers foundational to advanced Agentic AI concepts, focusing on autonomous, goal-oriented, and decision-making AI systems.
  • Provides hands-on experience through real-world agentic AI projects to apply concepts and build an industry-ready portfolio.
  • Emphasizes modern agent frameworks, tool-using agents, and multi-agent systems for intelligent automation.
  • Teaches effective memory, context handling, reasoning, and planning techniques for building reliable AI agents.
  • Includes training on designing, evaluating, and optimizing autonomous AI agents for scalable real-world applications.