Spécialisation Mastering AI: Neural Nets, Vision System, Speech Recognition

Upon completing the Specialization, you will be able to analyze and manipulate data using Python, SQL, and Power BI, create data visualizations, build predictive models, and develop interactive dashboards to derive actionable insights for real-world business challenges.

This course primarily uses Python for programming and implementation.

Learners can execute Python code directly from a web browser with no configuration required using Google Colab.

Absolutely! The materials and techniques are put into practice in actual tasks in computer vision, machine learning, deep learning, and audio processing.

No software installation is required, as Google Colab provides a cloud-based environment that eliminates the need for local setup. Learners only need a Google account and an active internet connection. However, they may choose to write code using Anaconda, Jupyter, Spyder, or any other preferred IDE. It is important to note that flexibility may be limited when working with Computer Vision and Speech Analysis due to variations in syntax across platforms.

To effectively engage in this course, learners should have prior programming experience and a foundational understanding of statistical and inferential analysis.

The specialization teaches Python and key libraries including NumPy, Pandas, Matplotlib, Seaborn, and Plotly for data manipulation and visualization. For machine learning and deep learning, you’ll work with algorithms as well as neural network models . Additionally, OpenCV is used for computer vision tasks, and audio signal processing techniques are applied for speech recognition.

Yes, upon completing the specialization, you will earn a shareable career certificate from Edureka. This certificate can be added to your LinkedIn profile, resume, or CV to showcase your skills in AI, neural networks, computer vision, and speech recognition.

This specialization, offered by Edureka on Coursera, provides a extensive, structured curriculum across four courses, covering Python fundamentals, machine learning, deep learning, computer vision, and speech recognition. Unlike many AI courses that focus solely on theory or specific tools, this program emphasizes hands-on projects with real-world applications. It integrates practical tools like OpenCV and advanced neural network models and offers a shareable certificate,

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.