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Udemy

AI & Python Development Megaclass - 300+ Hands-on Projects

via Udemy

Overview

Training in Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Chatbots, and AI-Powered Applications

What you'll learn:
  • Master Python programming from scratch, even with no prior experience
  • Understand the fundamentals of AI, machine learning, and deep learning
  • Build and deploy real-world AI applications using Python
  • Work with essential AI libraries like TensorFlow, PyTorch, and OpenCV
  • Develop practical skills through 100 hands-on AI and Python projects
  • Learn data analysis, visualization, and preprocessing for AI models
  • Implement AI-powered applications such as chatbots, recommendation systems, and automation tools
  • Gain experience in model training, evaluation, and optimization techniques
  • Understand the ethical and practical considerations of AI development
  • Build a portfolio of AI and Python projects to showcase skills to employers or clients

Dive into the ultimate AI and Python Development Bootcamp designed for beginners and aspiring AI engineers. This comprehensive course takes you from zero programming experience to mastering Python, machine learning, deep learning, and AI-powered applications through 100 real-world projects. Whether you want to start a career in AI, enhance your development skills, or create cutting-edge automation tools, this course provides hands-on experience with practical implementations.(AI)

You will begin by learning Python from scratch, covering everything from basic syntax to advanced functions. As you progress, you will explore data science techniques, data visualization, and preprocessing to prepare datasets for AI models. The course then introduces machine learning algorithms, teaching you how to build predictive models, analyze patterns, and make AI-driven decisions. You will work with TensorFlow, PyTorch, OpenCV, and Scikit-Learn to create AI applications that process text, images, and structured data.

As you advance, you will develop chatbots, recommendation systems, sentiment analyzers, and automation tools using real-world datasets. You will gain expertise in natural language processing (NLP), computer vision, and reinforcement learning, mastering how AI is applied in various industries. The course also covers AI ethics, model optimization, and deployment strategies, ensuring you understand how to scale AI projects efficiently.

By the end of the course, you will have 100 hands-on projects that demonstrate your skills in AI development, automation, and machine learning. Whether you’re looking to launch an AI-driven startup, enhance your resume with in-demand AI skills, or automate business processes, this course equips you with everything you need. Join now and become proficient in Python and AI development, unlocking endless opportunities in the tech industry.

Syllabus

  • Week 1: Python Programming Basics for Artificial Intelligence
  • Week 2: Data Science Essentials for Artificial Intelligence
  • Week 3: Mathematics for Machine Learning and Artificial Intelligence
  • Week 4: Probability and Statistics for Machine Learning and AI
  • Week 5: Introduction to Machine Learning
  • Week 6: Feature Engineering and Model Evaluation
  • Week 7: Advanced Machine Learning Algorithms
  • Week 8: Model Tuning and Optimization
  • Week 9: Neural Networks and Deep Learning Fundamentals
  • Week 10: Convolutional Neural Networks (CNNs)
  • Week 11: Recurrent Neural Networks (RNNs) and Sequence Modeling
  • Week 12: Transformers and Attention Mechanisms
  • Week 13: Transfer Learning and Fine-Tuning
  • Week 1: Python Basics
  • Week 2: Intermediate Python
  • Week 3: Working with Data
  • Week 4: Object-Oriented Programming
  • Week 5: GUI Programming
  • Week 6: Web Development with Python
  • Week 7: Data Science Basics
  • Days 50–60: Intermediate Projects
  • Days 61–70: Advanced Intermediate Projects
  • Days 71–80: AI & Machine Learning Projects
  • Machine Learning Algorithms and Implementation in Python

Taught by

School of AI

Reviews

4.4 rating at Udemy based on 452 ratings

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