Master the future of technology with the AI Development Training at Netpro Training Institute, Pune, designed to turn beginners into industry-ready professionals. This comprehensive program covers the complete AI stack, including Python programming, Machine Learning algorithms, Deep Learning, and the latest in Generative AI.

1. The AI Foundation
• Mathematics & Statistics: Focus on Linear Algebra (matrices/vectors), Calculus (gradients for optimization), and Probability (distributions and Bayesian thinking).
• The Python Ecosystem: Move beyond basic syntax. Master these core libraries:
• NumPy & Pandas: For data manipulation and "cleaning" messy datasets.
• Matplotlib/Seaborn: To visualize data trends before training.
• Project: Build a "House Price Predictor" using simple linear regression to understand how data turns into a prediction.

2. Core Machine Learning
• Supervised Learning: Master Regression and Classification (Random Forests, Support Vector Machines).
• Unsupervised Learning: Learn K-Means Clustering and PCA (Principal Component Analysis) for finding hidden patterns.
• Deep Learning & Neural Networks: Understand the "Brain" of AI.
• Learn about Backpropagation and Activation Functions.
• Start using frameworks: PyTorch (industry favorite for research) or TensorFlow (popular for production).
• Project: Create an Image Classifier (e.g., "Cat vs. Dog") using a Convolutional Neural Network (CNN).

3. The Generative AI & LLM Era b>
• STransformers Architecture: Study the "Attention Is All You Need" concept. It is the engine behind ChatGPT.
• Prompt Engineering & Chaining: Learn to craft robust prompts and use Prompt Chaining to solve complex tasks.
• RAG (Retrieval-Augmented Generation): Learn how to connect an LLM to a private database so it can "read" your files and answer questions accurately.
• Project: Build a "Chat with my PDF" tool using LangChain or LlamaIndex.

4. Agentic AI & Deployment
• AI Agents: Learn how to build systems that can use tools (like searching the web or writing code) to achieve a goal autonomously.
• MLOps & Deployment: How to get your model out of your laptop and onto the web
• Tools: Docker, Hugging Face Spaces, and Cloud APIs (OpenAI, Azure AI, or Google Vertex AI).
• Ethics & Security: Learn about bias mitigation and how to protect AI from "Prompt Injection" attacks.
• Capstone Project: Develop an Autonomous Research Agent that takes a topic, searches the web, summarizes findings, and emails a report to a user.