DeepLearning.AI Courses

Sequences, Time Series and Prediction

5165 ratings at Coursera

Course 4 of the deeplearning.ai TensorFlow Specialization will teach you how to solve time series and forecasting problems using RNNs, ConvNets, and the WaveNet architecture.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Generative AI for Everyone

5310 ratings at Coursera

Learn how generative AI works and what it can and can't do: practice prompt engineering, build hands-on projects, and weigh its impact on business and society.

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

Convolutional Neural Networks in TensorFlow

8225 ratings at Coursera

Improve ConvNet image classifiers in TensorFlow: train on the Cats vs Dogs dataset, curb overfitting with augmentation and dropout, apply transfer learning, and handle multiclass classification.

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

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

19744 ratings at Coursera

Build and train neural networks with TensorFlow, solving computer vision problems in a few lines of code, then improve them with convolutions and larger, complex images.

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

Career Certificate

DeepLearning.AI TensorFlow Developer

25404 ratings at Coursera

Build and train deep learning models in TensorFlow, from convolutional networks for image classification to natural language processing and sequence and time series prediction.

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

Career Certificate

Machine Learning

39356 ratings at Coursera

Learn supervised learning with linear and logistic regression, neural networks and decision trees, plus unsupervised clustering, dimensionality reduction, recommender systems, reinforcement learning, and practices for evaluating and tuning models.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Calculus for Machine Learning and Data Science

972 ratings at Coursera

Optimize machine learning functions with calculus: use derivatives, gradients, gradient descent and Newton's method, and apply them to neural networks in Python labs.

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

Career Certificate

Generative AI for Software Development

848 ratings at Coursera

Pair-program with LLMs: apply prompt engineering with ChatGPT to write and test code, produce documentation, manage dependencies, and design patterns and database architectures.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

AI for Medical Prognosis

800 ratings at Coursera

In this course, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis.

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

Probability & Statistics for Machine Learning & Data Science

700 ratings at Coursera

Quantify uncertainty in machine learning predictions using probability distributions, maximum likelihood and MAP estimation, confidence intervals, and hypothesis tests such as t-tests and A/B testing.

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

LangChain Chat with Your Data

689 ratings at Coursera

Build a chatbot over your own documents with LangChain: load and split data, create embeddings and vector stores, apply advanced retrieval, and answer questions.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Free Online Course

Build Better Generative Adversarial Networks (GANs)

685 ratings at Coursera

Evaluate GANs with the Fréchet Inception Distance, weigh them against other generative models, detect sources of bias, and implement StyleGAN components in PyTorch.

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

Introduction to Generative AI for Software Development

668 ratings at Coursera

Use an LLM as a pair programmer: prompt chatbots to write code fast, assign job-role personas, and analyze code for efficiency, security, and performance.

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

Device-based Models with TensorFlow Lite

655 ratings at Coursera

Convert and optimize TensorFlow models to TensorFlow Lite, then run them with the Lite Interpreter in Android and iOS apps, on Raspberry Pi and microcontrollers.

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

Browser-based Models with TensorFlow.js

1011 ratings at Coursera

Train and run machine learning models in the browser with TensorFlow.js: classify handwritten digits, convert Python models to JSON, and retrain MobileNet on webcam gestures.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course