Deep Learning Courses and Certifications

EDUCBA

Master CNNs with Python: Build, Train & Evaluate Models

19 ratings at Coursera

Dive into CNN development with Python to design, build, train and evaluate deep learning models for image classification through hands-on projects and real-world applications.

• Coursera
• 5 hours 37 minutes
• Self-Paced
• Paid Course

Deep Learning with Keras and Tensorflow

1035 ratings at Coursera

Discover hidden structures in unstructured data using TensorFlow. Learn to build and apply deep learning models for various data types to solve real-world problems.

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 1

Dive into foundational concepts of Large Language Models, exploring neural networks, transformer architecture, and practical applications while mastering pre-training and fine-tuning techniques.

• Coursera
• 1 hour 14 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineer Professional

Master advanced AI engineering through model optimization, deep learning architectures, transformers, and MLOps practices for production-ready solutions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Efficiently Serving LLMs

Explore LLM serving optimizations, including KV caching, continuous batching, and quantization. Implement key techniques, benchmark performance, and gain hands-on experience with Predibase's LoRAX framework for efficient LLM deployment.

• Coursera
• 4 hours
• Self-Paced
• Paid Course

Introduction Course to Autoencoders, VAEs, and GANs

Master autoencoders, VAEs, and GANs through hands-on implementation with TensorFlow, building realistic image generators and understanding adversarial training dynamics.

• Coursera
• 3 hours 55 minutes
• Self-Paced
• Paid Course

Quick Start Guide to Large Language Models (LLMs): Unit 1

Explore NLP evolution, master attention mechanisms, and build RAG systems using ChatGPT, Llama, and T5 while developing prompt engineering skills for effective LLM communication.

• Coursera
• 6 hours 18 minutes
• Self-Paced
• Paid Course

Packt

Advanced CNNs, Transfer Learning, and Recurrent Networks

Master advanced CNNs, transfer learning, and RNNs. Apply cutting-edge techniques to real-world datasets, from medical imaging to text generation. Gain practical skills through hands-on case studies and industry-relevant projects.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Packt

Deep Neural Network for Beginners Using Python

Master deep learning with Python: from basics to advanced concepts, hands-on coding, and real-world applications. Gain expertise in neural networks, optimization techniques, and practical implementation through guided tutorials and projects.

• Coursera
• 8 hours 21 minutes
• Self-Paced
• Paid Course

Packt

RNN Architecture and Sentiment Classification

Master RNN architectures and implement sentiment classification models for advanced text analysis and prediction.

• Coursera
• 7 hours 58 minutes
• Self-Paced
• Paid Course

Advanced Healthcare Analytics

Master neural networks, deep learning imaging, and clinical NLP to solve high-value healthcare problems while ensuring responsible AI deployment in regulated environments.

• Coursera
• 8 hours 7 minutes
• Self-Paced
• Paid Course

Introduction to CNN Training

Discover CNN fundamentals and build practical image recognition skills through hands-on labs covering convolution, ReLU, pooling layers, and real-world classification projects.

• Coursera
• 2 hours 32 minutes
• Self-Paced
• Paid Course

H2O.ai

H2O Hydrogen Torch Starter Course

Master deep learning without coding - build computer vision, NLP, and audio models using H2O Hydrogen Torch. Learn dataset handling, model tuning, and real-world applications through hands-on experimentation.

• Coursera
• 2 hours 17 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learn Imagery

Master deep learning for satellite imagery—fine-tune CNNs, apply transfer learning, boost performance with data augmentation, and interpret predictions using Grad-CAM for land cover classification.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

Career Certificate

TensorFlow 2 for Deep Learning

722 ratings at Coursera

Develop practical skills in TensorFlow 2 for deep learning, covering model building, training, evaluation, customization, and probabilistic approaches using TensorFlow Probability.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses