Master Generative AI & Agents with NIPSTec
NIPSTec's Generative AI & Agents program is designed to build practical, future-ready skills across Artificial Intelligence, Generative AI, Large Language Models, machine learning, deep learning, automation and AI agents.
The program covers core AI concepts, modern GenAI systems, prompt engineering, LLMs, multimodal AI, RAG, vector databases, LangChain, LlamaIndex, n8n, APIs, FastAPI and agent workflows.
With industry-expert trainers, practical learning and a structured pre-training assessment, expert-led classes and post-training evaluation process, the program is designed to support students and professionals in building real-world AI capabilities.
Key Highlights
Generative AI & LLMs
Learn Generative AI, Large Language Models, multimodal AI and modern AI tools.
AI & ML Foundations
Build strong fundamentals in machine learning, data preparation, neural networks and model evaluation.
Automation & Agents
Work with automation workflows, n8n, tool calling, AI agents, chatbots with memory and production workflows.
Practical AI Applications
Apply concepts through chatbot, content automation, RAG, vector search and AI application workflows.
Course Overview
A focused 3-month, 60-hour offline program covering Artificial Intelligence, Generative AI, machine learning, deep learning, LLMs, AI automation and agent development.
Skills You'll Build
Program Curriculum
A practical curriculum spanning AI & GenAI, machine learning, deep learning, and AI automation & agents.
Module 1Introduction to AI & Generative AI⌄
- 01. Introduction to AI
- 02. Why AI Became Important
- 03. Evolution of AI
- 04. How AI Systems Work
- 05. Machine Learning and Deep Learning Overview
- 06. AI Ecosystem Overview
- 07. Generative AI Introduction
- 08. Large Language Models (LLMs)
- 09. Multimodal AI Systems
- 10. Modern AI Tools Practical
- 11. AI Ethics & Responsible AI
- 12. OpenAI Integration Chatbot Project
Module 2Machine Learning & Data Science Foundations⌄
- 01. Introduction to Machine Learning
- 02. Data for AI Systems
- 03. Dataset Understanding
- 04. Data Preparation Basics
- 05. AI Development Workflow
- 06. Basic Math for AI (Simplified)
- 07. Supervised Learning
- 08. Linear Regression
- 09. Model Error & Improvement
- 10. Logistic Regression
- 11. Decision Trees
- 12. Unsupervised Learning
- 13. Principal Component Analysis (PCA)
- 14. Overfitting & Underfitting
- 15. Model Evaluation
Module 3Deep Learning & Neural Networks⌄
- 01. Neural Network Practical Concepts
- 02. Activation Functions (Simplified)
- 03. Neural Prediction Workflow
- 04. Backpropagation Concept
- 05. CNN (Convolutional Neural Networks) for Image AI
- 06. Image Processing Workflow
- 07. Sequential AI Models
- 08. LSTM & Memory Concept
- 09. Word Embeddings & Semantic Meaning
- 10. Attention Mechanism Deep Dive
- 11. Transformer Architecture (Part 1)
- 12. Transformer Architecture (Part 2)
- 13. Positional Encoding Basics
- 14. Model Design Thinking
Module 4AI Automation & Agents⌄
- 01. Introduction to Automation
- 02. Workflow Concept
- 03. n8n Fundamentals
- 04. API Basics
- 05. Prompt Engineering Masterclass
- 06. Connecting AI Models
- 07. AI Content Automation
- 08. Introduction to RAG (Retrieval-Augmented Generation)
- 09. Vector Databases & Semantic Search
- 10. Introduction to LangChain & LlamaIndex
- 11. Chatbots with Memory
- 12. AI Agents Fundamentals
- 13. Tool Calling & Agent Workflows
- 14. FastAPI for AI Applications
- 15. Deployment & Production Workflows
Tools You'll Master
Hands-on exposure to modern tools used across Generative AI, automation and AI application development.
Career-Focused Areas
The program builds capability across practical AI application and automation areas.
Training Methodology
NIPSTec follows a structured process designed to make learning practical, personalised and measurable.
Pre-Training Assessment
Assess your current skill level and learning needs before you begin.
Expert-Led Classes
Learn directly from experienced professionals with practical industry knowledge.
Post-Training Evaluation
Track your progress and understand how well you've mastered the skills.
Practical & Personalised Learning
The complete process prepares you for real-world AI challenges and applications.
Why Choose NIPSTec
With over 25 years of excellence, NIPSTec delivers industry-aligned training to students, professionals, corporates and government departments.
25 Years of Experience
More than 25 years of training and development experience supporting learners and organisations.
Industry-Expert Trainers
Learn from qualified professionals who bring practical industry knowledge into the classroom.
Future-Ready Skills
Build capability in AI, GenAI, LLMs, automation and agents for evolving technology environments.
Structured Learning Process
Pre-training assessment, expert-led classes and post-training evaluation support your learning journey.
What You'll Practice
OpenAI Integration Chatbot
Apply Generative AI concepts through a practical chatbot project.
AI Content Automation
Connect AI models and automation workflows for content-driven use cases.
RAG & Semantic Search
Work with retrieval-augmented generation and vector database concepts.
AI Agents & Tool Calling
Understand agent fundamentals, tool calling and end-to-end agent workflows.
Interested in MASTER GENERATIVE AI & Agents?
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Frequently Asked Questions
What is the duration of the Generative AI & Agents program?
The program is 3 months and includes 60 hours of training.
What mode of training is offered?
The brochure specifies offline mode of training.
What topics are covered in the program?
The curriculum covers AI and GenAI, machine learning, deep learning, LLMs, multimodal AI, automation, RAG, vector databases, LangChain, LlamaIndex, AI agents, FastAPI and deployment workflows.
Will I learn Generative AI and Large Language Models?
Yes. The curriculum includes Generative AI, Large Language Models (LLMs), multimodal AI systems and modern AI tools.
Does the course cover AI agents and automation?
Yes. It covers automation concepts, n8n, APIs, AI content automation, chatbots with memory, AI agents fundamentals, tool calling and agent workflows.
Which tools are included?
The brochure lists tools and technologies including LangSmith, LangChain, n8n, LangGraph, Hugging Face, Chroma, TensorFlow, Visual Studio Code, Postman, Streamlit, Claude, PyTorch, Docker, ChatGPT, FAISS, LlamaIndex and FastAPI.
What is the training methodology?
NIPSTec describes a Pre-Training Assessment, Expert-Led Classes and Post-Training Evaluation approach.
Is the program focused only on theory?
The brochure presents a practical curriculum including chatbot, automation, RAG, AI agent and deployment-oriented topics alongside core concepts.