DeepLearning.AI Courses

Neural Networks and Deep Learning

16 ratings

Build, train, and apply fully connected deep neural networks, using vectorization, forward propagation, and backpropagation, and identify the key parameters of a network's architecture.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Convolutional Neural Networks

8 ratings

Build convolutional neural networks and residual variants, apply transfer learning, and implement object detection, face recognition, and neural style transfer for art generation.

• Coursera
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

AI For Everyone

7 ratings

AI is not only for engineers: decode neural network, machine learning and deep learning terminology, spot AI opportunities, build an AI strategy, and navigate AI ethics.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Structuring Machine Learning Projects

6 ratings

Diagnose errors in machine learning systems, prioritize fixes, handle mismatched training/test sets, benchmark against human-level performance, and apply transfer, multi-task, and end-to-end learning.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Sequence Models

31293 ratings at Coursera

Build and train RNNs, GRUs, and LSTMs for character-level language modeling, word embeddings, attention mechanisms, and HuggingFace transformers applied to named entity recognition and question answering.

• Coursera
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

ChatGPT Prompt Engineering for Developers

7 ratings

Learn prompt engineering best practices for app development, explore innovative LLM usage, including custom chatbot creation, and gain hands-on experience in writing and refining prompts with the OpenAI API.

• Independent
• 1-2 hours
• Self-Paced
• Free Online Course

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63547 ratings at Coursera

Open the deep learning black box: apply initialization, L2 and dropout regularization, gradient checking, batch normalization, hyperparameter tuning, and optimizers like Momentum, RMSprop and Adam in TensorFlow.

• Coursera
• 3 weeks, 8 hours a week
• Self-Paced
• Paid Course

Natural Language Processing with Classification and Vector Spaces

4647 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Natural Language Processing in TensorFlow

6538 ratings at Coursera

Build NLP systems in TensorFlow: tokenize text with Tokenizer and pad_sequences, train word embeddings for movie-review sentiment, and generate poetry with RNNs, GRUs and LSTMs.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

시퀀스 모델

1 rating

RNN·GRU·LSTM에서 트랜스포머까지, 시계열과 NLP를 위한 시퀀스 모델을 구축하고 훈련합니다.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

AI-Powered Software and System Design

194 ratings at Coursera

Use LLMs to design software architectures from natural language requirements, build a database for an e-commerce platform, integrate APIs like DALL-E, and refactor with Gang of Four patterns.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Team Software Engineering with AI

186 ratings at Coursera

Use LLMs to generate exploratory and security tests, write documentation that follows language conventions, and manage dependencies, resolving conflicts and debugging dependency problems.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

الذكاء الاصطناعي للجميع

1010 ratings at Coursera

دورة غير تقنية تشرح كيفية اكتشاف فرص الذكاء الاصطناعي وبناء استراتيجية لتطبيقه داخل المؤسسات.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

AI Python for Beginners

254 ratings at Coursera

Learn Python from scratch to build AI-powered tools like recipe generators, smart to-do lists and vacation planners, using variables, functions, loops, data structures, packages and APIs.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

AI for Medical Diagnosis

2076 ratings at Coursera

In this course, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders.

• Coursera
• 3 weeks, 7 hours a week
• Self-Paced
• Paid Course