• The Challenge

    Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming industries across the globe. From healthcare to finance, autonomous vehicles to personalized recommendations, AI-powered solutions are becoming increasingly prevalent. However, the complexity of AI and the scarcity of skilled professionals pose significant challenges in harnessing its full potential.

  • The Mission

    Are you ready to embark on a journey to become a proficient deep learning practitioner? Our Hands-On Deep Learning Curriculum is designed to equip you with the necessary skills to build intelligent systems and contribute to groundbreaking innovations. By mastering the fundamentals of machine learning and deep learning, you'll be empowered to tackle real-world problems and drive technological advancements.

  • The Course

    Our comprehensive curriculum provides a hands-on approach to deep learning. You'll delve into foundational concepts, explore state-of-the-art techniques, and gain practical experience through real-world projects and assignments.

Early Bird Discount

Save 10% when you book before June 16 using code: earlybirdjune2025

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The Course

This hands-on course covers foundational concepts in deep learning, enabling you to tackle real-world problems through practical projects and assignments.

    1. Introduction to Machine Learning:

    2. Machine Learning for Regression

    3. Machine Learning for Classification

    1. Machine Learning for Classification

    2. Deploying Machine Learning Models

    1. Natural Language Processing (Text, audio etc)

    2. Large Language Models

    3. Reinforcement learning

    4. To- Be - Completed-LESSON

    5. To- Be - Completed-LESSON

About this course

  • 40 000,00 kr
  • 10 lessons
  • Online Distance
  • Live Instructor-led class
  • Start Date: 11th September 2025

What You Will Learn: Foundational Concepts: Master the Basics of Machine Learning

  • Understand the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.

  • Learn data preprocessing techniques such as cleaning, encoding, and handling missing values.

  • Build regression models to predict continuous outcomes (e.g., laptop prices) and classification models to solve binary/multi-class problems (e.g., fraud detecbull

  • Evaluate models using metrics like accuracy, precision, recall, F1-score, MSE, and RMSE.

Neural Networks & Deep Learning: Dive into Computer Vision

  • Gain hands-on experience with neural networks, including convolutional neural networks (CNNs) for image analysis

  • Explore transfer learning with pre-trained models like ResNet and EfficientNet to tackle real-world computer vision tasks.

  • Develop a deep learning model for real-time driver distraction detection to improve road safety.

  • Deploy your models to the cloud using platforms like AWS, or Google Cloud Platform and tools like Docker, and FastAPI.

Advanced Deep Learning:

  • Gain a solid understanding of Natural Language Processing (NLP), Large Language Models (LLMs), and Reinforcement Learning concepts, preparing you to tackle more advanced topics with confidence.

Terms and Conditions

Payment Terms and Conditions 1. Payment Requirement All discounted options (e.g., Early Bird, Black Friday promotions) must be paid in full upfront. Standard course payments must also be made upfront, unless a payment plan is selected. 2. Payment Plan Option For students choosing a payment plan, the standard course fee will be divided into three instalments. The first instalment is due at the time of enrolment. 3. Cancellation Policy A 30-day cancellation policy applies to both upfront full payments and payment plans. If cancellation occurs at least 30 days prior to the course start date, a full refund will be issued. If cancelled within 30 days of the course start date: For full payments, 33% of the total will be retained as an administration and processing fee. For payment plans, the first instalment is non-refundable. 4. Early Commitment Guarantee Students who prepay will receive a guaranteed spot in the course and an official confirmation receipt upon payment. If the course does not meet the minimum enrolment requirements and cannot proceed, prepaying students will be given the option of: A full refund, or Transferring their payment to a future course or program of their choice. This policy ensures fairness for early enrollees while maintaining flexibility for unforeseen scheduling changes. 5. Agreement to Terms By enrolling in any of our courses or participating in sales or promotions, you acknowledge and agree to the terms and conditions outlined above.