Agentic AI Professional Training

Agentic AI Course — Master AI Agents, Automation & Intelligent Workflows

The Agentic AI Course introduces intelligent AI systems that can interpret goals, plan tasks, use tools, and execute multi-step workflows with appropriate human oversight. Explore LLM-powered agents, prompt design, tool integration, workflow orchestration, and practical applications through structured learning and guided exercises.

  • Comprehensive Agentic AI & AI Agent Curriculum
  • Hands-on learning with AI agent workflows and automation scenarios
  • LLMs, tool integration, multi-step reasoning, and agentic applications
Enroll Now Download Brochure
4 months
Course Duration
Flexible
Learning Track
Online
Learning Format
Explore Agentic AI Training

Request Program Details

Contact our team to confirm the current course format, syllabus, fees, and available support.

Solve: 3 + 4 = ?

Program Highlights

The Agentic AI Course introduces learners to intelligent AI systems that can interpret goals, plan tasks, use tools, and execute multi-step workflows with appropriate human oversight. Explore LLM-powered agents, prompt design, tool integration, workflow orchestration, and practical applications through structured learning and guided exercises.

💻 Live Interactive Learning — Instructor-led sessions and real-time interaction, if included in the selected program.
🎥 Recorded Learning Resources — Access recorded sessions and learning materials according to the course plan.
👨‍🏫 Expert Guidance — Learn Agentic AI concepts with guidance from instructors who have relevant AI and application-development expertise.
📄 Career Guidance — Explore career pathways and learn how agentic systems can be applied to business and technical workflows, where included.
💳 Flexible Payment Options — Contact our team to check available payment plans and instalments.
📞 Learner Support — Get information about available course assistance, doubt resolution, and academic support.

Why Choose Agentic AI Training?

Master AI Agents, Automation & Intelligent Workflows

This program introduces the concepts and technologies used to develop AI agents capable of working through multi-step tasks. Understand how LLMs, tools, memory, planning, and external systems can work together to support intelligent workflows. Explore practical use cases and learn how to evaluate agent behaviour, manage errors, and maintain appropriate human oversight.

Comprehensive Curriculum
AI Agents, LLMs, Tool Calling, Workflow Orchestration & Automation
Learning Access
Course access period and learning resources based on the selected program
Hands-on Labs & Projects
Practise designing agent workflows, integrating tools, and exploring task automation through guided exercises
Practical Learning
Explore agent design and intelligent workflows through guided learning activities
Enroll Now Course Curriculum
AI
Agent Workflows
LLMs
Tools & Orchestration
Agentic AI
Course Overview
Practical Learning
Agentic AI planning tasks, using tools, and completing a supervised workflow

Agentic AI Course

Agentic AI focuses on AI systems that can work toward a defined goal by planning steps, using tools, responding to results, and adapting their actions within configured boundaries. Unlike a simple prompt-and-response workflow, an AI agent may interact with external services or execute a sequence of tasks to complete a larger objective.

This course introduces LLM-powered agents, tool calling, memory, planning, workflow orchestration, and multi-agent collaboration. Depending on the selected learning track, learners may also explore Python, APIs, agent frameworks, retrieval systems, evaluation, and deployment considerations.

Agentic AI knowledge can complement AI application development, intelligent automation, software engineering, and AI-enabled business operations. Career opportunities depend on the learner’s technical background, practical experience, and depth of training.

Career Insight: Advanced AI engineering roles may require programming, API integration, system design, and experience deploying reliable applications.

Program Level

What You Will Learn

1️⃣ Agentic AI Foundations
  • Understanding Artificial Intelligence, Generative AI, and Agentic AI
  • AI assistants versus AI agents and automated workflows
  • Core components of an AI agent, including goals, planning, actions, and feedback
  • Role of Large Language Models and practical applications of agentic systems
  • Limitations, risks, and appropriate use cases for AI agents
2️⃣ LLMs, Prompt Engineering & Agent Design
  • Understanding LLMs and their role in agentic applications
  • Designing clear instructions, goals, task constraints, and prompts for planning
  • Structured outputs, tool-selection decisions, and breaking complex tasks into steps
  • Using context and memory to support task continuity
  • Handling ambiguous instructions, errors, and incomplete results; evaluating completion
3️⃣ AI Agent Tools & Workflow Orchestration
  • Understanding tool calling and function calling
  • Connecting AI agents with APIs and external services
  • Designing multi-step AI workflows and workflow control
  • Introduction to agent frameworks such as LangChain and LangGraph, where included
  • Understanding state, memory, multi-agent collaboration, failures, retries, permissions, and human approval
4️⃣ Agentic AI Applications & Practical Projects
  • Designing a research assistant, document question-answering, or task-management workflow
  • Creating an AI workflow that interacts with supported tools or APIs
  • Introduction to RAG and multi-agent collaboration, where included
  • Testing agent outputs, tool usage, and task execution
  • Understanding responsible deployment, security, and monitoring

Frameworks, coding exercises, RAG, multi-agent systems, and application-development projects are included only when confirmed in the course syllabus.

Core Traits You’ll Build

Analytical ThinkingWorkflow DesignProblem-SolvingAI Tool IntegrationAutomation MindsetResponsible AI Practices

Your Agentic AI Learning Style

A practical, systems-oriented approach to understanding AI agents, designing multi-step workflows, integrating tools, and evaluating how intelligent systems can support real-world tasks.

Agentic AI Certification

Build an understanding of AI agents, LLM-powered workflows, tool integration, and intelligent automation. The certificate or external certification available depends on the specific program offered.

Agentic AI certification information

Build Your Agentic AI Skills

Explore how agent-based systems can plan tasks, interact with supported tools, and complete multi-step processes within defined boundaries. Confirm the issuing organisation, examination requirements, and certification eligibility before treating this as an official certification offer.

  • Understand the architecture and core components of AI agents
  • Explore LLM-powered planning, tool calling, and workflow execution
  • Design prompts and task instructions for agentic workflows
  • Understand memory, state management, and multi-step task handling
  • Explore AI integrations with APIs and external tools
  • Evaluate agent outputs, errors, security, and reliability
  • Develop practical experience through exercises included in the program

Tools & Technologies Covered

Python

Automate analysis and explore data using libraries.

Pandas

Clean, manipulate, and analyze datasets with Python.

NumPy

Perform numerical calculations and array-based analysis.

SQL & Databases

Query, filter, join, and analyze structured datasets.

Tableau

Visualize trends and communicate analytical findings.

Statistics

Apply descriptive and inferential statistics to identify patterns, test hypotheses, and draw reliable conclusions from data.

ChatGPT

Utilize generative AI to enhance data analysis, automate reporting, and improve decision-making processes.

Copilot

Copilot integrates with your development environment to provide intelligent code completion and suggestions.

Langraph

Langraph is a framework for building and managing language-based AI applications.

CrewAI

CrewAI is a platform for building and managing AI agents and workflows.

Autogen

Autogen is a framework for creating AI agents and workflows.

Langchain

Langchain is a framework for creating language-based AI applications.

Agentic AI Course Overview

Agentic AI is an emerging area of artificial intelligence focused on systems that can work toward goals through planning, tool usage, and multi-step execution. These systems can support workflows such as research, information retrieval, customer support, software development, and business process automation when designed with suitable controls.

This course introduces how LLMs, tools, memory, and orchestration can be combined to complete tasks. Learners can explore practical use cases and understand the importance of testing, permissions, monitoring, and human oversight.

Organisations are exploring AI agents to support complex workflows, reduce repetitive work, and connect AI models with business tools. Learn to identify suitable automation opportunities and recognise the technical and operational challenges of reliable agent-based systems.

Explore agent design, prompt engineering, tool calling, workflow orchestration, and task execution through guided scenarios. Exercises may include research assistants, document-processing workflows, API-connected agents, and multi-step automation, depending on the course track.

Develop knowledge that can complement AI application development, software engineering, automation, and AI-enabled business operations. Advanced roles may require additional programming, API integration, cloud deployment, security, and system-design experience.

Student Testimonials

Rahul Sharma

Lokesh Dandamudi

★★★★★

I had an excellent experience with Securium Academy! The courses are well-structured, up-to-date, and tailored to meet industry standards, especially in the field of cybersecurity. The instructors are highly knowledgeable and supportive, breaking down complex topics into easily understandable modules. What stood out the most was their hands-on approach with practical labs, real-world scenarios, and continuous mentoring. Whether you're a beginner or looking to advance your career, Securium Academy offers the right blend of theory and practice. Highly recommended for anyone serious about building a strong foundation in cybersecurity!

Lajin C P

★★★★★

Exam was very nice.. It was an excellent experience.. I highly recommend everyone who is highly passionate in cyber security field should attend this exam.

user

Malle Ganesh

★★★★★

My overall experience is soo Good with Securium Academy. They have excellent trainers with Good teaching Skills. Especially My trainer so good in CYBER SECURITY knowledge with excellent practical knowledge. They also providing Coupons for the certifications

user

Alka Sajeevan P

★★★★★

Happy to share that I have successfully earned the Certified Ethical Hacker (CEH) certification from EC-Council! This achievement has deepened my understanding of ethical hacking methodologies, penetration testing, and advanced cybersecurity concepts — empowering me to identify, analyze, and secure systems against evolving cyber threats.

user

Sreelakshmi Suresh

★★★★★

I recently completed the Certified Secure Computer User (CSCU) certification, and I must say it was an excellent experience! The CSCU program is well-structured and beginner-friendly, making it perfect for anyone looking to build a strong foundation in cybersecurity awareness, internet safety, and digital hygiene.

Trusted by Learners

Discover what our learners think about us

Frequently Asked Questions

The course is suitable for learners interested in AI agents, intelligent automation, and AI-powered applications. It may be particularly useful for software developers, IT professionals, AI learners, analysts, and automation professionals. Technical prerequisites depend on the course level.

Depending on the confirmed syllabus, the course may cover:
  • Agentic AI fundamentals and AI agent architecture
  • Large Language Models and prompt engineering
  • Planning, tool calling, and multi-step task execution
  • Memory, state management, and workflow orchestration
  • APIs and external tool integration
  • Agent frameworks and multi-agent systems
  • RAG and information retrieval for agentic applications
  • Practical exercises, testing, and responsible AI practices

A foundational course may introduce the concepts without requiring advanced programming skills. A technical course involving Python, APIs, and agent frameworks may require basic programming knowledge and familiarity with Generative AI or LLMs.

Duration and delivery format depend on the selected program. Contact Securium Academy to confirm current training hours, live or self-paced format, batch schedule, and course access period.

Assessment requirements depend on the course. The program may use:
  • Practical assignments and agent workflow exercises
  • Project submissions or quizzes
  • An examination, where applicable
Confirm the actual assessment format with the course team.

Depending on the syllabus, learners may explore:
  • LLM platforms, Python, APIs, and tool calling
  • Agent development frameworks such as LangChain or LangGraph
  • RAG, vector databases, and multi-agent systems in advanced tracks

The course fee depends on the training format, syllabus, and included resources. Contact Securium Academy for the current fee, available payment options, and any additional software or API costs.

Agentic AI skills may complement career paths such as:
  • AI Application Developer
  • AI Automation Specialist
  • AI Solutions Developer
  • LLM Application Developer
  • Software Developer working with AI
  • Intelligent Automation Engineer
  • AI Product or Technical Analyst
Specific job eligibility depends on existing skills, experience, and practical project work. Advanced engineering roles may require additional software development and deployment expertise.

Look for a clear curriculum, relevant tools, practical exercises, instructor support, and transparent certification details. Contact Securium Academy to learn about the available training format and course structure.

Practical projects depend on the selected program. Potential examples include research assistants, document-processing agents, API-connected workflows, and multi-step task automation. Confirm which projects are included before enrolling.

Certificate availability and issuing authority depend on the course. Confirm whether the program provides a Securium Academy completion certificate, an external certification, or preparation for a separate examination.

Request More Details

Solve: 3 + 4 = ?
Enter the result of the math question above.
×

Book Demo

×

Connect With Expert

Solve: 3 + 4 = ?
Enter the result of the math question above.
Connect With Expert
×

Apply Now

Solve: 3 + 4 = ?
Enter the result of the math question above.
×

Apply Now

Solve: 3 + 4 = ?
Enter the result of the math question above.