The Complete Ai & Genai Engineer Bootcamp: From Zero To Hero

Machine Learning, Deep Learning, NLP, LLMs, RAG, AI Agents, Hugging Face, LangChain, LangGraph & Build Real AI Projects

What you’ll learn
Build Machine Learning models from scratch using Python, NumPy, Pandas, and Scikit-Learn for real-world tasks like prediction, classification, and clustering.
Understand Deep Learning and Neural Networks with TensorFlow and Keras, including CNNs for image data and RNN/LSTM for sequence data.
Learn Natural Language Processing (NLP) including text preprocessing, embeddings, and transformer models like BERT.
Work with modern Generative AI tools such as Hugging Face, Transformers, and advanced prompt engineering techniques.
Build real-world GenAI applications including RAG systems, LLM chatbots, and AI agents using LangChain and LangGraph.
Create portfolio-ready AI projects with interactive interfaces using Streamlit and Gradio.

Requirements
Basic knowledge of Python is helpful but not mandatory.
No prior experience is required. We’ll start from the very basics.

Description
Become a modern AI Engineer from scratch by learning how to build real-world Artificial Intelligence and Generative AI systems used in industry today.This comprehensive bootcamp is designed to guide you step-by-step through the core concepts of Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI. You will start with the fundamentals of Python for AI, data analysis using NumPy and Pandas, and visualization techniques that help you understand datasets effectively.As the course progresses, you will learn how to train Machine Learning models for real-world problems such as prediction, classification, and clustering. You will also explore Deep Learning using TensorFlow and Keras, where you will build neural networks, convolutional neural networks (CNNs) for image data, and sequence models such as RNNs and LSTMs.The course then dives into modern Generative AI technologies, including Large Language Models (LLMs), Transformers, Hugging Face, and prompt engineering techniques. You will also learn how to build advanced AI systems such as Retrieval Augmented Generation (RAG) applications, LLM-powered chatbots, and AI agents using LangChain and LangGraph.Throughout the course, you will work on hands-on projects that help you gain practical experience and build a strong portfolio. By the end of the course, you will have the skills and confidence to design, develop, and deploy your own AI-powered applications.

Students who want to start a career as AI Engineers or Generative AI Engineers,Software developers and IT professionals who want to switch their career into AI and Generative AI,Beginners and non-technical learners curious about how modern AI systems like ChatGPT and LLMs work,Anyone who wants to build real AI projects like chatbots, RAG systems, and AI agents

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