Designing and Implementing Agentic AI Solutions
Master Agentic AI by learning how to design, build, and deploy intelligent agents that plan, reason, and act autonomously. This hands-on course will take you from core concepts to real-world projects, including workflow automation and enterprise chatbots.
Mode of Training
Online – Virtual (Live, Instructor Led, Real-Time Learning with Q&A and Discussions)
Certification
You will be awarded a Certificate of Completion at the end of the course, validating the skills and knowledge you have acquired.
Duration
48 hours (24 hours of Instructor-led training plus 24 hours of student practice)
This course is ideal for:
- AI/ML Practitioners and Data Scientists who want to move beyond traditional models into autonomous agent design.
- Software Developers and Engineers interested in building AI-powered workflows, chatbots, and multi-agent systems.
- Product Managers and Technical Leads exploring the use of agentic AI to automate complex business processes.
- Professionals working with LLMs (OpenAI, LangChain, Autogen) who want to add tool integration, RAG, and multi-step decision-making capabilities.
Highlights
Upgrade your career with top notch training
- Master Agentic AI Fundamentals: Understand what Agentic AI is, how autonomous agents work, and how they integrate into modern workflows.
- Hands-On with Leading Frameworks: Gain practical experience with LangChain, OpenAI Function Calling, and Autogen.
- Build Intelligent AI Agents: Learn to design, develop, and deploy AI agents that can plan, reason, and execute complex tasks.
- Integrate APIs, Tools & Databases: Connect agents with real-world tools, APIs, and SQL databases for workflow automation.
- Develop Enterprise-Ready Chatbots: Use RAG, vector databases (Pinecone, FAISS, Chroma), and LangChain to build context-aware chatbots.
- Flexible Online Format: Attend live classes from anywhere and participate in hands-on demos and discussions.
Outcomes
By the end of this course, participants will:
- Foundational Knowledge of Agentic AI: A clear understanding of Agentic AI concepts, including the role of agents in autonomous workflows, task planning, tool calling, and decision-making.
- Hands-On Experience with Frameworks: Practical skills in using LangChain, OpenAI Function Calling, and Autogen to design and build intelligent agents.
- Workflow Automation Skills: The ability to integrate agents with APIs, external tools, and SQL databases to automate multi-step workflows.
- Chatbot Development Expertise: Proficiency in building enterprise-grade chatbots using Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Chroma), and LangChain.
- Deployment and Optimization Skills: The capability to evaluate, deploy, and optimize AI agents for scalability, reliability, and real-world enterprise applications.
Course Content
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About
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Key Learnings
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Pre-requisites
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Job roles and career paths
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Curriculum
Agentic AI focuses on building intelligent agents that can plan, reason, and act autonomously to accomplish complex tasks. It brings together large language models (LLMs), decision-making frameworks, and tool integrations to create AI systems capable of handling real-world workflows.
This course provides a practical introduction to Agentic AI, guiding you through core concepts and hands-on applications. You’ll learn how to design and implement AI agents using frameworks such as LangChain, OpenAI Function Calling, and Autogen. This course is ideal for professionals looking to gain the skills needed to design and deploy next-generation AI solutions.
By the end of this course, you will gain a strong foundation in Agentic AI concepts and practical skills to design, build, and deploy intelligent AI agents.
- Understand the fundamentals of Agentic AI, including the role of agents in autonomous workflows, task planning, tool calling, and decision-making.
- Gain hands-on experience with leading frameworks such as LangChain, OpenAI Function Calling, and Autogen to build intelligent agents.
- Learn to automate workflows by integrating agents with APIs, external tools, and SQL databases for real-world applications.
- Develop enterprise-grade chatbots using Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Chroma), and LangChain.
- Work on practical projects, including a Data Analysis Agent with External Tools and an Enterprise Knowledge Chatbot, to apply concepts in real-world scenarios.
- Acquire deployment and optimization skills to evaluate, scale, and manage AI agents for enterprise use cases.
- Basic Python Knowledge: Participants should have a working understanding of Python programming concepts such as variables, functions, data structures, and object-oriented programming. You can take our Programming Essentials using Python course prior to this training if needed.
- Familiarity with AI/ML Fundamentals: A general understanding of artificial intelligence and machine learning concepts (e.g., supervised vs. unsupervised learning, model training and evaluation) is recommended. Our AI Essentials course can be a good starting point.
- Comfort with Cloud and APIs: Prior exposure to cloud platforms (Azure, AWS, or GCP) and working with APIs will help in understanding integrations and workflow automation.
- Basic Mathematics & Statistics: Knowledge of key mathematical concepts, including probability, statistics, and linear algebra, is helpful for reasoning about data-driven workflows.
This training will equip you for the following job roles and career paths:
✓ Prompt Engineer
✓ AI Application Specialist
✓ Generative AI Specialist
✓ AI Solutions Consultant
✓ Conversational AI Designer
✓ Content Strategist – AI Tools
✓ AI-Powered Customer Support Specialist
✓ AI Workflow Automation Specialist
✓ Instructional Designer – AI-Assisted Learning
✓ Innovation Manager – AI and Automation
This training will equip you for the following job roles and career paths:
- AI Engineer
- Machine Learning Engineer
- Agentic AI Developer
- Conversational AI / Chatbot Developer
- Data Scientist (with specialization in AI Agents)
- Automation Engineer (AI-driven workflows)
- AI Solutions Architect
Module 1. Agentic AI – Fundamentals
• What is Agentic AI?
• Role of Agents in Autonomous Workflows
• LangChain Agents, OpenAI Function Calling, Autogen
• Task Planning, Tool Calling, Decision Making
Module 2. Building with Agentic AI (Hands-On)
• Building AI Agents to Execute Tasks
• Integrating APIs, Tools & SQL
• Automating Complex Workflows
• Hands-on Project: Data Analysis Agent with Tools
Module 3. Chatbot Development Using LLMs
• LLM vs Rule-based Chatbots
• Retrieval-Augmented Generation (RAG)
• LangChain for Context-Aware Chatbots
• Using Vector Databases (Pinecone, FAISS, Chroma)
• Hands-on Project: Enterprise Knowledge Chatbot
Demand for Designing and Implementing Agentic AI Solutions
The demand for the Designing and Implementing Agentic AI Solutions course is driven by the rapid adoption of intelligent agents and autonomous AI systems across industries. Businesses are increasingly seeking to move beyond traditional AI and leverage Agentic AI to automate decision-making, optimize workflows, and build smarter chatbots and enterprise applications.
As companies adopt frameworks like LangChain, OpenAI Function Calling, and Autogen, there is a rising need for professionals who can design, build, and deploy AI agents capable of handling complex tasks. Roles such as AI Engineers, Machine Learning Engineers, and Conversational AI Developers are among the fastest-growing in the market, with strong demand in sectors like finance, healthcare, retail, and customer service.
This creates a significant opportunity for professionals with Agentic AI skills to step into high-demand, future-ready career paths.
FAQs
This course is designed for AI/ML practitioners, software developers, data scientists, and technology professionals who want to gain hands-on expertise in designing and deploying Agentic AI solutions. It’s ideal for those who already have some familiarity with Python and AI fundamentals and want to advance into autonomous agents and workflow automation.
Yes, a basic understanding of Python programming and AI/ML concepts is recommended. If you’re new to programming, we suggest taking our Programming Essentials using Python course first.
You will work with LangChain, OpenAI Function Calling, and Autogen for building AI agents. You will also use vector databases such as Pinecone, FAISS, and Chroma for Retrieval-Augmented Generation (RAG) chatbots.
The course is delivered in a flexible format with 48 total hours — 24 hours of live instructor-led training and 24 hours of guided self-practice with real-world projects.
After completing the course, you will be equipped for roles such as AI Engineer, Machine Learning Engineer, Agentic AI Developer, Conversational AI/Chatbot Developer, and AI Solutions Architect.
Yes, you will receive a Certificate of Completion validating your skills. In addition, you’ll be guided on how to apply your learning to real-world AI projects and career advancement opportunities.
