Applied Deep Learning – CV & NLP

In this course, we will delve into deep neural networks, exploring their strengths and weaknesses step by step. We’ll also examine various solutions developed through diverse deep neural network architectures to address different challenges. You will practice implementing popular architectures such as RNN and LSTM, alongside different types of CNNs, using the Python Keras library. Additionally, we’ll tackle significant projects, including sentiment analysis in the field of Natural Language Processing (NLP) and object detection for self-driving cars in the domain of Computer Vision.

The hybrid courses include the following:

• Video Content:
  In the hybrid course format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants.
• Mentoring Service:
  However, the videos are only part of the learning experience. For each week’s content, we offer a two-hour online mentoring session. These sessions are usually scheduled on weekdays (Monday to Friday) outside of business hours. After watching the video lessons, you can ask any questions or clarify doubts directly with the instructor during the live mentoring session, fostering a direct interaction with the course instructor.
  Additionally, instructors can use this service to monitor the progress of remote participants, track assigned tasks, and follow up on exercises.
• Telegram Support:
  For each ongoing program, a dedicated Telegram group will be created, where all participants of hybrid courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible.
• Certificate:
  At the end of the hybrid courses, participants will receive a certificate. The certificate is issued in English, can be verified online, and is shareable on social media platforms.

The self-paced courses include the following:

• Video Content:
  In the self-paced format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants.
• Telegram Support:
  For each ongoing program, a dedicated Telegram group will be created, where all participants of self-paced courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible.
• Certificate:
  Self-paced courses do not include certification.