Agentic AI Certification Course Online

Our Agentic AI Course is designed to help learners understand how modern AI applications work and how AI agents can perform tasks using tools, data, APIs, and different AI models. The course goes beyond basic Generative AI concepts and focuses on practical application development.

You will learn Python, Generative AI, Large Language Models (LLMs), prompt engineering, LLM APIs, tool calling, embeddings, vector databases, RAG, AI agents, LangChain, LangGraph, memory, multi-agent systems, MCP, evaluation, guardrails, deployment, and MLOps.

The Generative & Agentic AI Certification Course includes 280 hours of training over 6 months. Instead of only learning theory, you will work on practical projects that help you understand how AI solutions are created and deployed.

Learn Agentic AI Course

When you learn Agentic AI, you learn how to build AI applications that can understand a task, make decisions, use available tools, and complete multiple steps with limited human intervention.

The course starts with Python and AI application foundations and gradually moves toward advanced Agentic AI concepts. You will learn how LLMs work, create structured AI applications, connect models with APIs, build RAG applications, and develop AI agents.

You will also work with technologies such as LangChain, LangGraph, vector databases, FastAPI, PostgreSQL, Redis, Docker, GitHub, AWS, and MCP. This practical approach helps you understand how Generative AI and Agentic AI are used in real applications.

Why Choose a Agentic AI Course

Agentic AI is becoming an important area of modern AI application development. Businesses can use AI agents for tasks such as research, customer support, information retrieval, business operations, workflow automation, and decision support.

An Agentic AI Training Course can help you develop skills that are different from traditional machine learning training. Instead of focusing only on building ML models, you learn how to use existing AI models and connect them with tools, databases, APIs, workflows, and business applications.

Our course covers the complete journey from LLM application development to Agentic AI engineering, including RAG, AI agents, multi-agent systems, MCP, evaluation, security, and production deployment.

Agentic AI Course for Beginners

You do not need to be an AI expert to start learning. Our Agentic AI Course for Beginners begins with the fundamentals of Python and AI application development before moving toward advanced concepts.

You will first learn Python programming, APIs, JSON, Git and GitHub, FastAPI, and basic application development. After building this foundation, you will move into Generative AI, LLMs, prompt engineering, RAG, tool calling, and AI agents.

The step-by-step learning structure makes the course suitable for students and beginners who want to build a career in Generative AI and Agentic AI.

Agentic AI Course for Working Professionals

Our Agentic AI Course for Working Professionals is suitable for people who want to add modern AI skills to their existing technical or business experience.

The training focuses on practical skills that can be applied to real projects, including AI assistants, document-based Q&A systems, customer support agents, research agents, business automation agents, and multi-agent applications.

The flexible training schedule of 2 hours per day, 5 days a week allows professionals to follow a structured learning plan while continuing their existing work or studies.

Agentic AI Training with Practical Learning

Practical learning is an important part of our Agentic AI Training. You will not only study concepts but also apply them while building projects.

The training includes practical work with:

• Python and FastAPI

• Generative AI and LLM APIs

• Prompt engineering

• Function and tool calling

• Embeddings and vector databases

• RAG applications

• AI agents and agentic workflows

• LangChain and LangGraph

• Memory and multi-agent systems

• Model Context Protocol (MCP)

• AI evaluation and guardrails

• Docker and deployment

• AWS and production AI applications

Projects include an AI Text/Content Assistant, Customer Support Agent, Company Knowledge Assistant, Research/Business Operations Agent, Multi-Agent Research System, MCP-powered Business Operations Agent, and a final production-ready Agentic AI application.

Agentic AI Course Duration

The Agentic AI Course Duration is 6 months, with a total of 280 hours of structured training.

Course Details:

• Duration: 6 Months

• Total Training: 280 Hours

• Schedule: 2 Hours/Day × 5 Days/Week

• Focus: Generative AI Application Development + Agentic AI Engineering

• Mode: Practical and project-based learning

• Certification: Agentic AI Course Certificate

• Projects: Multiple practical projects + final project

The curriculum is divided into 11 modules, starting from Python and AI foundations and progressing to LLMs, RAG, AI agents, LangGraph, MCP, evaluation, deployment, and production AI.

Placement Assistance after Agentic AI Training

After completing the Agentic AI Training, learners can receive placement assistance to help them prepare for their career journey.

Placement support can include guidance for resume preparation, interview preparation, project presentation, technical interview practice, and job-related guidance.

The aim is to help learners understand how to present their Agentic AI skills and practical projects during the recruitment process. Placement assistance is designed to support learners as they explore opportunities in Generative AI, AI application development, AI automation, LLM applications, and Agentic AI engineering.

Agentic AI Course with Certificate

After completing the program, learners can receive an Agentic AI Certification that demonstrates their participation and completion of the training.

The Agentic AI Certification Course covers practical areas including Generative AI, LLMs, RAG, AI agents, LangChain, LangGraph, MCP, multi-agent systems, evaluation, deployment, and production AI applications.

A course certificate can be useful when presenting your newly developed skills on your resume and professional profiles. However, practical knowledge and projects remain an important part of demonstrating your abilities to potential employers.

Who Can Join Agentic AI Training?

The Agentic AI Training is suitable for learners from different backgrounds who want to develop practical AI application skills.

It can be suitable for:

• Students interested in Generative AI

• Beginners starting their AI journey

• Python developers

• Software developers

• Data professionals

• AI/ML professionals

• Web developers

• Automation professionals

• Working professionals

• Entrepreneurs interested in AI applications

• Professionals looking to move toward AI engineering

Basic programming knowledge can be helpful, but the course starts with Python & AI Application Foundations, making it easier for learners to build their skills step by step.

Career Opportunities After Agentic AI Training

After completing Agentic AI Certification Training, learners can explore roles related to Generative AI and AI application development. Job titles and requirements can vary between companies, but relevant career paths may include:

• Generative AI Developer

• Agentic AI Engineer

• AI Application Developer

• AI Engineer

• LLM Application Developer

• Generative AI Engineer

• AI Automation Developer

• RAG Application Developer

• AI Solutions Developer

• AI Agent Developer

The skills learned during the course can also support work on AI assistants, RAG systems, tool-using agents, business automation solutions, multi-agent applications, and production AI services.

Why to Choose Brillica Services for Agentic AI Training

Brillica Services provides practical, career-focused training designed to help learners develop modern technology skills. Our Agentic AI Institute focuses on learning through concepts, hands-on practice, projects, and industry-relevant technologies.

The Best Agentic AI Course with Placement Assistance at Brillica Services covers the complete path from Python and LLM fundamentals to advanced Agentic AI engineering.

You will learn technologies such as Python, OpenAI/Anthropic/Gemini APIs, Hugging Face, LangChain, LangGraph, Chroma, FAISS, PostgreSQL, Redis, MCP, Docker, GitHub Actions, AWS, and FastAPI.

The course also includes practical projects that bring multiple skills together. The final project can combine LLMs, prompting, RAG, tools, agents, memory, LangGraph, MCP, guardrails, evaluation, APIs, Docker, and deployment into a production-ready Agentic AI application.

If you are looking for Agentic AI Classes, Agentic AI Certification Training, or a Generative & Agentic AI Certification Course, this program provides a structured path to learn modern AI application development and build practical Agentic AI skills.