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Our curriculum is meticulously crafted to cover essential Python programming concepts and AI techniques, including machine learning, deep learning, natural language processing, and more.
Choose from flexible learning options, including in-person classes, online sessions, and self-paced modules. Whether you prefer structured classroom instruction or the flexibility of online learning, we have options to suit your schedule.
Learn from industry experts with extensive experience in Python development and artificial intelligence. Our instructors are dedicated to providing personalized guidance and support to help you succeed.
Receive career guidance and support throughout your learning journey. From resume building to interview preparation, we're committed to helping you launch or advance your career in Python programming and artificial intelligence.
Apply your knowledge in real-world scenarios through hands-on projects and practical exercises. Gain valuable experience working on AI projects that demonstrate your proficiency to potential employers.
Our Python AI course is specifically designed for beginners who want to learn how to code practical AI applications. You will begin by learning the fundamentals of Python programming, including variables, data types, and functions. The course introduces object-oriented programming (OOP) and guides you through core data structures like lists, tuples, and dictionaries. Additionally, we will focus on essential machine learning libraries such as Scikit-learn, TensorFlow, and PyTorch to help you build AI applications. Learn to work with cloud integration and gain hands-on experience in data analysis, visualization, and deep learning techniques. By the end of the course, you'll be proficient in applying AI tools to real-world problems.
Get introduced to Python programming and set up the development environment. Learn about variables, data types, control structures, functions, and file handling in Python.
Understand the principles of OOP, including classes, objects, inheritance, polymorphism, and encapsulation, along with handling exceptions for error management.
Explore essential libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib/Seaborn for visualizing and analyzing data.
Gain an overview of AI and ML, focusing on the difference between supervised and unsupervised learning, and dive into regression and classification models.
Learn to use Scikit-Learn to build machine learning models like linear regression and decision trees, and explore basic NLP techniques with NLTK for text analysis.
Apply your skills to develop an AI-based application, such as a chatbot or predictive model, and learn the basics of deploying your project using Flask or Django for web integration.
If you want to give the trending technology experience to your esteemed emloyees, we are here to help you.
If you have three or more people in your training we will be delighted to offer you a group discount.
