Deep Learning Courses and Certifications

Applied Deep Learning Capstone Project.

7 ratings at edX

In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Packt Microcredential

Deep Learning with Real-World Projects

7 ratings at Coursera

Master deep learning through hands-on projects. Apply neural networks, CNNs, and transfer learning to real-world scenarios using TensorFlow and Keras. Build a portfolio showcasing expertise in AI development.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Packt Microcredential

Deep Learning: Recurrent Neural Networks with Python

5 ratings at Coursera

Master RNNs, GRUs, and LSTMs for deep learning tasks. Build and implement neural networks using TensorFlow, culminating in projects like automatic book writing and stock price prediction.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Deep Learning

Master the fundamentals of neural networks, from MLPs and CNNs to RNNs and Transformers, through hands-on programming and practical training techniques for building modern AI systems.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Deep Learning Essentials

Explore fundamental concepts of deep learning, including neural networks, convolutional and recurrent architectures, and their applications in various industries. Gain insights into fairness and bias in machine learning.

• edX
• 5 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Whizlabs

NVIDIA: Fundamentals of Deep Learning

Dive into fundamental deep learning concepts, from neuron processing to CNNs and transfer learning, with hands-on demos using MNIST datasets and image recognition applications.

• Coursera
• 3 hours 44 minutes
• On-Demand
• Paid Course

Learn Ventures

Fundamentals of Deep Reinforcement Learning

Learn the theoretical foundations of Deep Learning through practical Python code.

• edX
• 8 weeks, 2-6 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Learning Deep Learning

Master neural networks, CNNs, RNNs, transformers, and LLMs using TensorFlow and PyTorch for real-world AI applications like image classification and language translation.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt

Advanced Machine Learning and Deep Learning

Master advanced machine learning and deep learning techniques, from neural networks to CNNs and RNNs. Apply knowledge through hands-on labs, covering regression, classification, and specialized topics like autoencoders and transfer learning.

• Coursera
• 7 hours 22 minutes
• On-Demand
• Paid Course

Edureka

Practical Deep Learning with Python

Master deep learning fundamentals and advanced architectures like CNNs, RNNs, and LSTMs through hands-on Python implementation. Build, optimize, and evaluate models for real-world AI applications.

• Coursera
• 12 hours 3 minutes
• On-Demand
• Paid Course

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 19 minutes
• On-Demand
• Paid Course

Packt

Natural Language Processing - Deep Learning Models in Python

Master deep learning models for NLP with Python, implementing neural networks, CNNs, and RNNs for text classification, embeddings, and sequential data processing using TensorFlow.

• Coursera
• 10 hours 33 minutes
• On-Demand
• Paid Course

Packt

Deep Learning - Crash Course 2023

Master deep learning fundamentals and tools. Build neural networks, explore activation functions, and apply TensorFlow 2.x for practical AI projects. Gain hands-on experience in data science and machine learning techniques.

• Coursera
• 14 hours 36 minutes
• On-Demand
• Paid Course

Coursera Microcredential

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt

Foundations of Model Optimization and Deep Learning

Master model optimization and CNNs through hyperparameter tuning, regularization techniques, and hands-on image classification projects using Keras, TensorFlow, and PyTorch.

• Coursera
• 7 hours 7 minutes
• On-Demand
• Paid Course