
English | Size: 6.95 GB
Genre: eLearning
Master Python programming from scratch and dive into Artificial Intelligence. No prior experience needed!
What you’ll learn
Master Python programming fundamentals, including variables, data structures, loops, functions, and error handling.
Learn how to work with essential Python libraries for AI, such as NumPy, Pandas, and Matplotlib.
Understand the fundamentals of Artificial Intelligence (AI), its applications, and how it differs from Machine Learning (ML) and Deep Learning (DL).
Explore Natural Language Processing (NLP) techniques, including text preprocessing, tokenization, Bag-of-Words, and Named Entity Recognition (NER).
Gain hands-on experience in Computer Vision, including image preprocessing, feature extraction, and basic object recognition using OpenCV.
Work on projects that involve AI-driven applications, such as a simple AI-powered chatbot or a basic image recognition system.
From Python Basics to AI – Learn to Code & Build AI Models
Are you ready to start your journey into Python programming and Artificial Intelligence (AI)? This beginner-friendly course will take you from zero to AI developer by teaching you how to code in Python and apply it to real-world AI applications like Natural Language Processing (NLP), Computer Vision, and AI-driven automation.
Whether you’re a complete beginner or someone with basic coding experience, this course is designed to build strong programming fundamentals and transition you into the world of AI.
What You’ll Learn:
Python Fundamentals (Beginner to Advanced)
- Master Python syntax, including variables, loops, functions, and data structures
- Work with essential Python libraries like NumPy, Pandas, and Matplotlib
- Learn file handling, error management, and object-oriented programming (OOP)
Introduction to Artificial Intelligence (AI)
- Understand the fundamentals of Artificial Intelligence and its applications
- Explore key AI subfields: Natural Language Processing (NLP), Computer Vision, and Knowledge Representation
Natural Language Processing (NLP) Basics
- Text preprocessing techniques like tokenization, stemming, and lemmatization
- Representation techniques such as Bag-of-Words (BoW) and TF-IDF
- Apply AI to build a basic text classification model
Computer Vision with AI
- Introduction to image processing and feature extraction
- Implement object recognition using OpenCV and Python
- Create an AI-powered image classification pipeline
Why Take This Course?
- No prior programming experience is needed – this course covers everything from scratch
- Hands-on coding exercises & AI projects – build real AI applications
- Step-by-step explanations – no confusing jargon, just clear and structured learning
- Career-ready skills – apply AI concepts to business, automation, and research
- Strong foundation for future AI learning – prepare for advanced machine learning and deep learning topics
By the end of this course, you will have a solid foundation in Python and AI and be ready to develop basic AI applications such as chatbots, text classifiers, and image recognition systems.
Don’t wait—enroll today and start building AI-powered applications with Python
Who this course is for:
- Complete beginners who want to learn Python and explore AI concepts
- Anyone curious about AI, looking for a structured approach to building AI applications using Python.
- Anyone curious about AI, looking for a structured approach to building AI applications using Python.
- Students and professionals looking to gain AI-related skills for real-world applications.
- Data enthusiasts who want to explore Natural Language Processing (NLP) and Computer Vision with hands-on coding exercises.

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