Deep Learning Courses and Certifications

Learning Deep Learning: Unit 2

Master advanced deep learning with CNNs, RNNs, and Transformers for image classification, NLP, and machine translation using TensorFlow and PyTorch.

• Coursera
• 7 hours 40 minutes
• On-Demand
• Paid Course

Whizlabs

Fundamentals of Deep Learning

Master neural networks, CNNs, and transfer learning through hands-on training and evaluation of deep learning models for real-world image classification problems.

• Coursera
• 5 hours 30 minutes
• On-Demand
• Paid Course

EDUCBA

Deep Learning with R: Build & Predict Neural Networks

Master neural network development in R through hands-on data preparation, visualization, regression modeling, and deep learning implementation with practical predictive applications.

• Coursera
• 9 hours 48 minutes
• On-Demand
• Paid Course

Packt

Deep Learning & Modern AI Architectures

Master cutting-edge neural networks, CNNs, RNNs, and Transformers with hands-on projects in TensorFlow, Keras, and PyTorch for real-world AI applications.

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

EDUCBA

Deep Learning: Build & Optimize Neural Networks

Master neural networks from foundations to advanced applications including computer vision, NLP with transformers, and recommender systems using PyTorch and real-world projects.

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

LearnKartS

Become AI-Ready: Deep Learning Fundamentals

Discover how deep learning powers modern AI systems like ChatGPT through hands-on neural network training, backpropagation, and sequence modeling with RNNs and LSTMs.

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

Machine Learning: Deep & Reinforcement Learning

Get started in Reinforcement and Deep Learning! Explore the theory and practice behind neural networks, build deep learning models, and study modern architectures used in today’s AI applications.

• edX
• 2 weeks, 30-31 hours a week
• On-Demand
• Free Online Course (Audit)

EDUCBA

Analyze and Apply Deep Learning for Computer Vision

Master deep learning architectures and computer vision techniques to solve real-world visual intelligence problems through hands-on implementation and modern AI workflows.

• Coursera
• 5 hours 15 minutes
• On-Demand
• Paid Course

Packt

Deep Learning and Advanced Techniques

Master advanced deep learning with ensemble methods, neural networks, and frameworks like TensorFlow, PyTorch, XGBoost for real-world AI applications and model deployment.

• Coursera
• 9 hours 23 minutes
• On-Demand
• Paid Course

Packt

Deep Learning, NLP, and AI Applications

Explore neural networks, CNNs, RNNs, and transformers to build AI applications for image classification, NLP tasks, and real-world projects using TensorFlow and PyTorch.

• Coursera
• 18 hours 11 minutes
• On-Demand
• Paid Course

Hands-on Deep Learning

Master practical deep learning by building neural networks, CNNs, transformers, and generative AI models for real-world applications with unstructured data.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Deep Learning

Master neural networks, CNNs, RNNs, transformers, and generative models with theory and applications in computer vision, NLP, and robotics from MIT.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Coursera

Optimize Deep Learning Models for Peak AI

Master transfer learning, model fine-tuning, and optimization techniques to deploy efficient deep learning models in production environments with balanced accuracy and performance.

• Coursera
• 1 hour 52 minutes
• On-Demand
• Paid Course

Microcredential

Deep Learning

Comprehensive introduction to Deep Learning, covering neural networks, popular frameworks, and GPU acceleration. Hands-on projects prepare learners for real-world AI applications and career opportunities.

• edX
• 26 weeks, 2-4 hours a week
• On-Demand
• $495.00
• 5 courses

Microcredential

Deep Learning

Comprehensive introduction to deep learning, covering neural networks, computer vision, and popular frameworks. Hands-on projects prepare learners for real-world AI applications and career opportunities.

• edX
• 26 weeks, 2-4 hours a week
• On-Demand
• $485.00
• 6 courses