Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
School of AI
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Training in Machine Learning, Deep Learning, Data Science, Computer Vision, NLP, Chatbots, and AI-Powered Applications
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.
Course Content
- 24 section(s)
- 214 lecture(s)
- Section 1 Week 1: Python Programming Basics for Artificial Intelligence
- Section 2 Week 2: Data Science Essentials for Artificial Intelligence
- Section 3 Week 3: Mathematics for Machine Learning and Artificial Intelligence
- Section 4 Week 4: Probability and Statistics for Machine Learning and AI
- Section 5 Week 5: Introduction to Machine Learning
- Section 6 Week 6: Feature Engineering and Model Evaluation
- Section 7 Week 7: Advanced Machine Learning Algorithms
- Section 8 Week 8: Model Tuning and Optimization
- Section 9 Week 9: Neural Networks and Deep Learning Fundamentals
- Section 10 Week 10: Convolutional Neural Networks (CNNs)
- Section 11 Week 11: Recurrent Neural Networks (RNNs) and Sequence Modeling
- Section 12 Week 12: Transformers and Attention Mechanisms
- Section 13 Week 13: Transfer Learning and Fine-Tuning
- Section 14 Week 1: Python Basics
- Section 15 Week 2: Intermediate Python
- Section 16 Week 3: Working with Data
- Section 17 Week 4: Object-Oriented Programming
- Section 18 Week 5: GUI Programming
- Section 19 Week 6: Web Development with Python
- Section 20 Week 7: Data Science Basics
- Section 21 Days 50–60: Intermediate Projects
- Section 22 Days 61–70: Advanced Intermediate Projects
- Section 23 Days 71–80: AI & Machine Learning Projects
- Section 24 Machine Learning Algorithms and Implementation in Python
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
Skills covered in this course
Reviews
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NNisarg dhabu
very nice i have just started the course and i dont feel there is any problem for me .. till now its very good. i suggest this course if you are interested in python..
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NNoman Habib
Best on udemy! Thanks!
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JJyotishka Mondal
its good
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DDinesh Anand
very useful to learn about the Machine Learning, Deep Learning as s beginner
