DeepLearning.AI Courses

Sequences, Time Series and Prediction

5162 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
• 21 hours 43 minutes
• Self-Paced
• Paid Course

Convolutional Neural Networks in TensorFlow

8223 ratings at Coursera

Explore advanced ConvNet techniques for image classification, including data augmentation, transfer learning, and multiclass categorization using TensorFlow's high-level APIs.

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

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

19736 ratings at Coursera

Aprenda a implementar princípios de IA e aprendizado de máquina usando TensorFlow, construindo modelos escaláveis para resolver problemas do mundo real em visão computacional.

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

Career Certificate

DeepLearning.AI TensorFlow Developer

25393 ratings at Coursera

Gain hands-on skills in applied machine learning with TensorFlow, building and training powerful models for AI-powered applications. Prepare for the Google TensorFlow Certificate exam.

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

Calculus for Machine Learning and Data Science

963 ratings at Coursera

Explore calculus fundamentals for machine learning, including derivatives, optimization, gradients, and Newton's method. Apply concepts using Python in hands-on exercises for practical ML skills.

• Coursera
• 1 day 2 hours 59 minutes
• Self-Paced
• Paid Course

Career Certificate

Generative AI for Software Development

826 ratings at Coursera

Enhance software development skills with generative AI technologies. Learn to integrate AI chatbots, improve team collaboration, and design AI-powered systems for increased productivity and efficiency.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 2 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
• 1 day 5 hours 44 minutes
• Self-Paced
• Paid Course

Probability & Statistics for Machine Learning & Data Science

689 ratings at Coursera

Explore probability, statistics, and data analysis for machine learning. Apply concepts using Python in hands-on exercises. Gain skills in estimation, hypothesis testing, and exploratory data analysis.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

Build Better Generative Adversarial Networks (GANs)

685 ratings at Coursera

Learn to evaluate GANs, identify bias, and implement StyleGAN techniques. Master advanced image generation methods, from foundational concepts to state-of-the-art models using PyTorch.

• Coursera
• 1 day 4 hours 49 minutes
• Self-Paced
• Paid Course

LangChain Chat with Your Data

679 ratings at Coursera

Learn to build a chatbot using LangChain, focusing on RAG, document handling, vector stores, and advanced retrieval techniques for interacting with your own data sources.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Device-based Models with TensorFlow Lite

655 ratings at Coursera

Learn to deploy machine learning models on mobile and embedded devices using TensorFlow Lite. Optimize for low-power environments and run models on Android, iOS, Raspberry Pi, and microcontrollers.

• Coursera
• 10 hours 19 minutes
• Self-Paced
• Paid Course

Introduction to Generative AI for Software Development

651 ratings at Coursera

Enhance software development skills by integrating AI chatbots, understanding LLMs, and applying them to boost productivity, creativity, and career growth through pair-coding and code analysis.

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

Browser-based Models with TensorFlow.js

1011 ratings at Coursera

Train and run ML models in browsers using TensorFlow.js. Learn data handling, build a computer vision project, and explore deployment scenarios for real-world applications.

• Coursera
• 18 hours 59 minutes
• Self-Paced
• Paid Course

Finetuning Large Language Models

622 ratings at Coursera

Learn essential concepts and techniques for finetuning large language models using your own data, enabling you to optimize performance and produce transformative results in natural language processing tasks.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Career Certificate

AI for Good

619 ratings at Coursera

Explore AI applications in public health, climate change, and disaster management. Learn from industry experts and real-world datasets to develop skills for impactful AI projects addressing global challenges.

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