Agentic AI Courses Online

Work practices are changing at a fast pace across engineering, product, and business teams across the globe. AI systems have advanced beyond just answering queries; they are now able to plan work, coordinate workflows, interact with tools and produce tangible results with little human intervention. This emerging field is called Agentic AI.

upGrad offers online courses on Agentic AI and Generative AI for those who want to be prepared for this revolution. Be it a software engineer who wants to create AI native products, a data professional trying to specialize in Large Language Model (LLM), or a business leader who wants to understand and implement intelligent automation, such programs provide skills relevant to the actual professional world.

What Is Generative AI?

Generative AI is the type of Artificial Intelligence that has the capability to generate new content based on the information it was trained on. It can comprehend the user query and produce output accordingly and hence is used for performing work related to content creation, coding, research, design, and similar areas. Large Language Models (LLMs) are often used in Generative AI systems.

How Does Generative AI Work?

The generative AI uses trained models for identifying patterns within existing data and generating new data based on user instructions or inputs. The process of working with a generative AI typically involves:

• Data: Models learn patterns from large amounts of training data.
• Training: AI models are trained to understand language, images, code, audio, or other types of data.
• Prompt: You provide an instruction or input to the model.
• Processing: The model understands the input and identifies relevant patterns.
• Generation: The model creates new content based on the given prompt.

What Is Agentic AI?

Agentic AI means AI systems capable of achieving the goal using task planning, reasoning, tool use, API calls, context, and action. Unlike the system that can only provide output for the user's input, an AI agent breaks down the task into smaller pieces and works in a particular workflow with minimum human intervention.

How Do AI Agents Work?

An AI agent combines an AI model with instructions, tools, memory, data, and actions to complete a task. A typical AI agent workflow includes:

• Goal: Understand what needs to be completed.
• Planning: Break the goal into smaller tasks.
• Reasoning: Decide what steps are required.
• Tool Use: Access APIs, databases, search systems, or other tools.
• Memory: Maintain relevant information and context.
• Action: Execute the required tasks.
• Evaluation: Check the result and take further action when needed.

What Is the Difference Between Generative AI and Agentic AI?

Generative AI and Agentic AI are related but focus on different capabilities. The key difference between both technologies are:

What Are the Main Applications of Agentic AI and Generative AI?

Agentic AI and Generative AI can be used across technology, business, operations, customer service, and other areas where tasks require multiple steps.

Some key applications include:

Who Should Take a Gen AI & Agentic AI Course Online?

An Agentic AI course online can be useful if you want to understand modern AI systems and build skills for the new era of AI.

You should consider an Agentic or Generative AI course online if you are:

1. Working Professionals

If you work in technology, data, product, business, or another professional field, an Agentic AI course can help you understand how AI agents can be used in your work.

You can learn to:

• Understand AI agent workflows
• Apply AI to existing processes
• Work with AI tools and frameworks
• Build practical AI applications

2. Developers and Technical Professionals

Software developers, engineers, and technical professionals can learn how to build AI-powered applications and agentic workflows.

You can learn to:

• Build AI agents
• Work with LangChain and CrewAI
• Connect agents with APIs and tools
• Develop and deploy AI applications

3. Data and AI Professionals

If you work with data or AI, Agentic AI can help you move towards LLM applications, RAG systems, and autonomous AI workflows.

This includes:

• LLM application development
• RAG
• Embeddings and vector-based retrieval
• Agent design
• Multi-agent orchestration

4. Business and Product Professionals

Business leaders and product professionals can learn how Generative AI and Agentic AI can be applied to products, workflows, and business operations.

The course can help you to:

• Identify AI use cases
• Understand AI agent capabilities
• Explore AI-led automation
• Apply Generative AI to business problems

5. Beginners and Career Switchers

Some upGrad Generative AI and Agentic AI course in India are designed to introduce learners to AI and Generative AI fundamentals before moving towards advanced applications. Basic data and logic understanding and a willingness to learn Python fundamentals can help you build the required foundation.

What Will You Learn in a Generative AI and Agentic AI Course?

Generative AI and Agentic AI Course in India are designed to help you move from understanding how AI works to actually building intelligent systems that can create, reason, and act autonomously.

Tools and Technologies You Will Learn in Agentic AI & Generative AI Course Online

From AWS to LangChain- here is a list of all the tools that you'll learn in Gen AI and Agentic AI Course Online:

Hands-On Projects in upGrad Agentic AI and Generative AI Course Online

Learning Generative AI and Agentic AI will be easy when you work on practical projects along with the theory.

Below are some of the projects that you will explore in upGrad’s GenAI and Agentic AI Course Online:

Eligibility and Prerequisites for Agentic AI Course Online

The eligibility requirements can vary depending on the program you choose.

Below are eligibility criteria of the Agentic AI and Generative AI Course Online offered by upGrad:

Career Outcomes after Generative AI and Agentic AI Course in India

Learning Generative AI and Agentic AI can help you explore technical and AI-focused roles. The type of role you pursue depends on your existing skills, experience, and the area of AI you specialize in.

Industries Hiring Agentic AI Professionals

Companies across different industries are using AI Agents to automate the repetitive tasks and handle different workflows with less manual intervention.

Some of the industries with Agentic AI skilled professionals are:

• IT and Software/Product: Companies are using AI agents to automate software development tasks, manage workflows and connect to AI systems with APIs.
• E-Commerce and Retail: In E-Commerce and retail, AI agents can handle customer queries, recommend products, track orders, and support inventory and sales workflows.
• Banking and Financial Services: Financial organizations are using AI agents to support customer service, analyze financial information and automate repetitive banking processes.
• Healthcare: In healthcare, AI agents are supporting workflows such as patient scheduling, documentation, and coordination between different healthcare processes.
• Telecommunication: Telecom companies are using AI agents to handle customer support, troubleshoot common issues, analyze service requests, and automate workflows.