What You'll Learn
- Build, train, and deploy machine learning models for real-world applications like classification, regression, and NLP tasks.
- Master essential AI concepts, including neural networks, data preprocessing, model evaluation, and text processing.
- Deploy AI models as web services using Flask, enabling real-time user interaction and cloud deployment on platforms like Heroku.
- Utilize pre-trained models and transfer learning techniques to quickly implement NLP and image classification tasks.
Requirements
- No Prior Coding Knowledge Required: The course starts from the basics of Python, so no prior programming experience is needed.
- Basic Computer Usage: Learners should know how to navigate their computer, install software, and use a web browser.
- Basic Math Knowledge: Understanding of algebra and basic linear algebra (matrices, vectors) will be helpful.
- Computer with Internet Access: A laptop or desktop is needed to install software, download data, and follow the lessons.
Who This Course is For
- This course is designed for absolute beginners who are eager to learn AI development but have little to no prior experience in programming or machine learning. It is perfect for individuals who are curious about how AI works and want to get hands-on experience building real-world AI projects from scratch. Whether you're a student, career changer, or hobbyist, this course provides step-by-step guidance, making complex AI concepts accessible. If you're motivated to learn how to build AI models and deploy them, even without a technical background, this course is for you!
Your Instructor
School of AI
AI Academy
4.4 Instructor Rating
17,228 Reviews
447,323 Students
135 Courses
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