Professional Certificate in Deep Learning and Neural Networks

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Overview

Learning outcomes

Course content

Introduction to Deep Learning

Neural Network Fundamentals

Convolutional Neural Networks

Recurrent Neural Networks

Model Evaluation and Optimization

Introduction to Deep Learning

Neural Network Architecture

Convolutional Neural Networks

Recurrent Neural Networks

Natural Language Processing with Deep Learning

Generative Adversarial Networks

Transfer Learning Techniques

Model Evaluation and Optimization

Ethics in AI and Deep Learning

Deployment of Deep Learning Models

Introduction to Neural Networks

Activation Functions and Optimizers

Convolutional Neural Networks

Recurrent Neural Networks

Autoencoders and Variational Autoencoders

Generative Adversarial Networks

Deep Reinforcement Learning

Natural Language Processing

Transfer Learning and Fine-Tuning

Ethical Considerations in Deep Learning

Introduction to Deep Learning

Neural Networks Fundamentals

Convolutional Neural Networks

Recurrent Neural Networks

Optimization Techniques in Deep Learning

Regularization Techniques in Neural Networks

Generative Adversarial Networks

Natural Language Processing with Deep Learning

Deep Reinforcement Learning

Deep Learning for Computer Vision

Duration

The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months

Course fee

The fee for the programme is as follows:
Fast track - 1 month: GBP £140
Standard mode - 2 months: GBP £90

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Career Path

Key facts

Why this course

Frequently asked questions

This course provides comprehensive training in deep learning and neural networks, equipping professionals with essential skills for advanced AI applications.

Showcase your achievement with a professional certificate upon successful course completion.

Professional Certificate in Deep Learning and Neural Networks

Overview

Learning outcomes

Course content

Introduction to Deep Learning

Neural Network Fundamentals

Convolutional Neural Networks

Recurrent Neural Networks

Model Evaluation and Optimization

Introduction to Deep Learning

Neural Network Architecture

Convolutional Neural Networks

Recurrent Neural Networks

Natural Language Processing with Deep Learning

Generative Adversarial Networks

Transfer Learning Techniques

Model Evaluation and Optimization

Ethics in AI and Deep Learning

Deployment of Deep Learning Models

Introduction to Neural Networks

Activation Functions and Optimizers

Convolutional Neural Networks

Recurrent Neural Networks

Autoencoders and Variational Autoencoders

Generative Adversarial Networks

Deep Reinforcement Learning

Natural Language Processing

Transfer Learning and Fine-Tuning

Ethical Considerations in Deep Learning

Introduction to Deep Learning

Neural Networks Fundamentals

Convolutional Neural Networks

Recurrent Neural Networks

Optimization Techniques in Deep Learning

Regularization Techniques in Neural Networks

Generative Adversarial Networks

Natural Language Processing with Deep Learning

Deep Reinforcement Learning

Deep Learning for Computer Vision

Duration

Course fee

Career Path

Key facts

Why this course

Frequently asked questions

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Earn a Certificate

Skills gained