Generative AI is a type of deep learning model that learns patterns from training data and creates new outputs text, images, audio, video, or code that are statistically similar to what it learned from. Tools like ChatGPT are the most well-known examples, capable of producing lifelike images, business reports, or software code from a simple prompt.
Agentic AI goes a step further than generative AI instead of just responding to a prompt, it can plan, reason, make decisions, and carry out multi-step tasks autonomously, using tools, APIs, and external systems with minimal ongoing human input. Think of it less as a content generator and more as a digital assistant that can act on your behalf.
Generative AI responds to prompts to produce content, while agentic AI performs tasks on its own, often based on predefined goals or rules, without needing constant prompting.
This course suits IT professionals, developers, business analysts, product managers, and tech leaders who want to understand how LLMs and autonomous agents work and how to apply or deploy them responsibly in real business workflows whether you’re technical or not.
No, prior coding experience is not required to join the course. SysAp Technologies starts with the fundamentals and gradually covers advanced concepts, making the course suitable for both beginners and professionals looking to upgrade their skills.
In this course, you will learn Generative AI fundamentals, prompt engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, workflow automation, and real-world AI application development. You’ll also gain hands-on experience by building practical Generative and Agentic AI projects.
The course covers popular tools and frameworks such as Python, OpenAI APIs, LangChain, LangGraph, Hugging Face, Vector Databases, Retrieval-Augmented Generation (RAG), AI Agents, and prompt engineering. You’ll gain hands-on experience by building real-world Generative and Agentic AI applications.
Quality programs in this space allocate a significant share of time to hands on labs building real agent workflows, connecting them to knowledge bases, and handling failure states rather than just lecture-based learning.
Roles this training can prepare you for include AI Engineer, Agentic AI Developer, Prompt Engineer, AI Solutions Architect, and AI-powered product/automation specialist roles across industries adopting AI copilots, autonomous research assistants, and intelligent customer-service agents.
The duration of the Generative & Agentic AI course at SYSAP Technologies varies depending on the selected learning mode and batch schedule. For the latest course fees, available offers, and upcoming batch details, please contact our admissions team or book a free counselling session