Professional Certificate in Deep Learning Basics: Connected Systems

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The Professional Certificate in Deep Learning Basics: Connected Systems is a crucial course that provides a strong foundation in deep learning principles and their applications in connected systems. This program meets the growing industry demand for professionals who can design and implement intelligent systems.

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Enrollees will gain essential skills in deep learning algorithms, neural networks, and data processing techniques. They will also learn how to apply these skills to develop connected systems and IoT devices. The course covers key topics such as convolutional neural networks, recurrent neural networks, and long short-term memory networks. Upon completion, learners will have a competitive edge in the job market, with the ability to design and implement advanced AI systems. They will be well-prepared for careers in deep learning engineering, machine learning engineering, and data science. This program is an excellent opportunity for professionals seeking to upskill and stay ahead in the rapidly evolving field of deep learning.

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โ€ข Unit 1: Introduction to Deep Learning
โ€ข Unit 2: Neural Networks Basics
โ€ข Unit 3: Convolutional Neural Networks (CNNs)
โ€ข Unit 4: Recurrent Neural Networks (RNNs) & Long Short-Term Memory (LSTM)
โ€ข Unit 5: Deep Learning Frameworks (TensorFlow, PyTorch, Keras)
โ€ข Unit 6: Training and Optimization Techniques
โ€ข Unit 7: Concept Drift and Catastrophic Forgetting in Deep Learning
โ€ข Unit 8: Deep Learning for Computer Vision
โ€ข Unit 9: Deep Learning for Natural Language Processing (NLP)
โ€ข Unit 10: Real-World Applications and Best Practices for Connected Systems

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PROFESSIONAL CERTIFICATE IN DEEP LEARNING BASICS: CONNECTED SYSTEMS
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London College of Foreign Trade (LCFT)
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05 May 2025
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