Duration
120 Hrs
Skill Level
Beginner to Advanced
Mode
Online + Offline
Projects
8+ Real-World Projects
This program is designed to help learners build practical artificial intelligence skills through hands on projects, real-world use cases, and interactive lab sessions. You’ll learn how to create AI-powered applications, work with large language models, automate tasks, and develop intelligent AI agents that can make decisions and perform actions independently.
Whether you’re a student, fresher, working professional, or business owner, this course offers a structured learning path to gain industry relevant skills in one of the fastest-growing areas of technology. The training covers prompt engineering, generative AI tools, AI agent development, workflow automation, and deployment techniques combining theory with practical implementation so you can confidently build real AI solutions.
Python
OpenAI
LangChain
Prompt Engineering
Vector Databases
AI Agents
Hugging Face
NLP Fundamentals
Machine Learning
TensorFlow
Git
GitHub
LLM
AI Model Deployment
AI is moving fast, and course content in this space can go stale quickly so practical, up to date training matters more here than almost anywhere else. Our program is designed for students, freshers, working professionals, and AI enthusiasts who want to master current AI technologies, not outdated concepts.
You’ll learn to create intelligent AI applications, automate workflows, build AI agents, and work with large language models, prompt engineering, RAG, and popular AI frameworks through hands-on projects. Training combines practical learning with real-world use cases to help you become genuinely job-ready preparing you for industry recognized AI roles with skills that are relevant today, not just in theory.
Hands-on AI projects
Industry expert trainers
Live practical sessions
Agentic AI certification
Placement assistance
Job-ready AI skills
Generative AI Fundamentals
Agentic AI Development
AI Applications & Integrations
Deployment, Certification & Career
This certification validates your skills in building AI-powered applications, intelligent agents, automation, and prompt engineering grounded in real project work, not just conceptual familiarity. The program provides practical knowledge through real world projects, hands-on labs, and expert guidance.
You’ll learn to develop AI solutions using modern frameworks, LLMs, and autonomous AI agents while gaining genuinely industry ready experience strengthening your professional profile for high demand AI roles with skills that are relevant to where the field is headed, not just where it’s been.
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.
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