Edoxi’s 40-hour online Deep Learning course equips data scientists and AI enthusiasts with essential skills in neural network architectures and practical AI applications. Our Deep Learning training focuses on hands-on learning with TensorFlow and PyTorch, helping participants build advanced AI systems for image, text, and data analysis.
The Deep Learning course curriculum covers fundamental mathematical principles behind neural networks, advanced architectures such as CNNs, RNNs, and ANNs, and optimisation techniques. Participants gain practical experience in computer vision, deep network design, and model evaluation through interactive sessions and projects. Key course modules include Neural Networks, Deep Learning, CNNs, Sequence Models, and ML Project Structuring.
Upon successful completion of our Deep Learning course, you will gain A course completion certificate from Edoxi. This credential validates your skills in high-demand roles like Deep Learning Engineer, Computer Vision Engineer, and AI Solutions Architect, with strong career growth potential in the global AI sector.
Enrol now to advance your career in Deep Learning and AI.
Work in full lab environments to build neural networks and implement deep learning models using industry-standard frameworks.
Create a professional portfolio with projects in image classification, sentiment analysis, and predictive modelling for real-world use cases.
Join instructor-led coding sessions featuring real-time debugging, architecture walkthroughs, and guided implementation.
Participate in hyperparameter optimisation exercises that simulate real-world model improvement scenarios.
Apply transfer learning using architectures like ResNet and BERT to accelerate model development and deployment.
Build neural networks from scratch and implement full ML workflows, from data preparation to model deployment.
Professionals with data experience looking to move into neural network development.
Engineers aiming to strengthen their skills in deep learning architectures and optimisation techniques.
Python developers interested in adding AI features to applications or transitioning into specialised AI roles.
Those in academia or industry working on advanced neural network models and emerging techniques.
Decision-makers who need a solid understanding of deep learning to guide organisational AI initiatives.
Professionals seeking to use deep learning for smart automation and intelligent process optimisation.
Our online Deep Learning Course offers hands-on activities and projects to build neural networks and solve real-world AI problems using TensorFlow and PyTorch. Key projects include:
Set up Google Colab with TensorFlow or PyTorch to create a complete deep learning workspace.
Build a simple 2-layer neural network without high-level libraries to understand core architecture concepts.
Use dropout and L2 regularisation on the CIFAR-10 dataset to boost accuracy and reduce overfitting.
Build a CNN from the ground up to classify images and learn how filters and feature extraction work.
Develop an LSTM model to forecast stock price trends using time-series data.
Create and present a full deep learning solution using real data in computer vision, NLP, or time-series forecasting.
Our Deep Learning Training Course delivers exciting career opportunities and strong learning outcomes, including:
Get expert assistance in getting you Deep Learning Course customised!
Here’s a four-step guide to becoming a certified Deep Learning professional.
Join Edoxi’s Deep Learning Course
Among the many options available, Edoxi is one of the top choices for professional training. Here’s why Edoxi’s Deep Learning training is the best fit for your needs:
Our instructors bring hands-on skills from implementing neural network solutions across major organisations.
Edoxi offers a complete progression from beginner to advanced data science and analytics programs, supporting long-term career growth for AI professionals.
We design customised deep learning programs for tech companies, financial institutions, and government entities, tailored to organisational needs.
Our limited class sizes ensure personalised attention, detailed feedback, and close instructor support for your deep learning projects.
With centres in London, the UAE, Qatar, and Kuwait, Edoxi combines global insights with local market relevance to enhance the learning experience.
Upon successfully completing the Deep Learning course, you will receive a Course Completion Certificate from Edoxi.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Shahista Tabassum
Shahista Tabassum is an experienced Data Analyst with over 14 years of combined industry and training experience. She has successfully trained more than 2000 students in data analytics, Python programming, and data visualisation. Her career spans hands-on experience in multinational corporations, followed by 10 years of dedicated training, complemented by an M.E. in Web Technologies that strengthens her technical foundation. This dual perspective enables her to deliver real-world context alongside theoretical knowledge in Python programming, data science, statistical analysis, machine learning, and database management.
Shahista's project-based teaching methodology draws directly from her MNC experience, incorporating actual business scenarios and industry challenges into the classroom. Her approach emphasises practical application and data storytelling techniques used in corporate boardrooms, ensuring students learn not just technical skills but also how to communicate insights effectively to stakeholders. Through clear explanations and real-world case studies from her corporate tenure, she guides learners in building portfolio-worthy projects that demonstrate genuine business value, preparing them to contribute immediately in professional settings.
Here is the list of other major locations where Edoxi offers Deep Learning Course
Yes. You will gain the skills to build end-to-end deep learning systems for image classification, natural language processing, and predictive analytics. The course includes multiple real-world projects that help you build a strong professional portfolio.
After completing Deep Learning training, beginners usually earn $80,000 to $130,000 a year. The salary depends on factors such as the company, location, and your skill level.
After completing the training, you can pursue roles such as Deep Learning Engineer, AI Developer, Computer Vision Engineer, and NLP Specialist, positions in high demand across industries like tech, healthcare, finance, and more.
Deep Learning uses multi-layer neural networks that automatically learn features from data, while traditional ML often relies on manual feature engineering. The course explains these differences clearly and covers when to use each approach.
The course is highly practical, with most sessions focused on implementation. You will complete 20+ hands-on exercises, from building neural networks from scratch to working with advanced architectures for real-world applications.
