DeepLearning.AI Courses

Career Certificate

DeepLearning.AI Data Engineering

599 ratings at Coursera

Comprehensive program teaching data engineering fundamentals, AWS tools, and real-world practices. Covers data lifecycle, ingestion, storage, modeling, and serving for analytics and machine learning applications.

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

Apply Generative Adversarial Networks (GANs)

548 ratings at Coursera

Explore GANs for data augmentation, privacy, and image translation. Implement Pix2Pix and CycleGAN models to transform images, from satellite views to map routes and horses to zebras.

• Coursera
• 1 day 1 hour 39 minutes
• Self-Paced
• Paid Course

AI For Medical Treatment

542 ratings at Coursera

In this course, you will build a treatment effect predictor, apply model interpretation techniques and use natural language processing to extract information from radiology reports.

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

Data Pipelines with TensorFlow Data Services

536 ratings at Coursera

Streamline ETL tasks, optimize data pipelines, and publish datasets using TensorFlow Data Services. Learn to load, process, and share standardized data efficiently for machine learning models.

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

Advanced Computer Vision with TensorFlow

533 ratings at Coursera

Explore advanced computer vision techniques using TensorFlow, including image classification, segmentation, object detection, and model interpretation methods for building powerful ML models.

• Coursera
• 19 hours 1 minute
• Self-Paced
• Paid Course

Advanced Deployment Scenarios with TensorFlow

512 ratings at Coursera

Explore advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, TensorBoard, and federated learning to effectively bring machine learning models into real-world applications.

• Coursera
• 12 hours 52 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering

493 ratings at Coursera

Explore the data engineering lifecycle, from data generation to serving, and build an end-to-end system. Gain practical skills in gathering requirements, choosing tools, and applying data architecture principles.

• Coursera
• 17 hours 36 minutes
• Self-Paced
• Paid Course

Custom and Distributed Training with TensorFlow

438 ratings at Coursera

Explore advanced TensorFlow techniques for custom training loops, graph mode optimization, and distributed training on GPUs and TPUs. Gain flexibility and efficiency in model development.

• Coursera
• 1 day 15 minutes
• Self-Paced
• Paid Course

Building Systems with the ChatGPT API

348 ratings at Coursera

Learn to automate complex workflows using ChatGPT API, building prompt chains, integrating Python code, and creating a customer service chatbot. Apply skills to real-world scenarios and enhance development capabilities.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Искусственный Интеллект (ИИ) для всех

329 ratings at Coursera

Обзор ИИ для нетехнических специалистов: понимание терминологии, возможностей, применения в бизнесе, работы с ИИ-командами и этических аспектов для эффективного внедрения в организации.

• Coursera
• 6 hours 20 minutes
• Self-Paced
• Paid Course

Multi AI Agent Systems with crewAI

324 ratings at Coursera

Learn to design and organize AI agent teams for complex tasks using crewAI. Master role-playing, memory, tools, focus, guardrails, and cooperation to automate business processes effectively.

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

AI and Disaster Management

321 ratings at Coursera

Explore AI applications in disaster management through case studies on Hurricane Harvey and Haiti earthquake, using computer vision and NLP to analyze imagery and aid requests.

• Coursera
• 11 hours 45 minutes
• Self-Paced
• Paid Course

Generative Deep Learning with TensorFlow

316 ratings at Coursera

Explore advanced deep learning techniques: neural style transfer, autoencoders, VAEs, and GANs. Create unique images, denoise data, generate new content, and build powerful models using TensorFlow.

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

LangChain for LLM Application Development

317 ratings at Coursera

Expand LLM capabilities in application development using LangChain. Learn models, prompts, parsers, memories, chains, question answering, and agents to create robust AI applications efficiently.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

AI Agents in LangGraph

311 ratings at Coursera

Learn to build controllable AI agents using LangGraph. Create agents from scratch, implement persistence, incorporate human-in-the-loop, and develop an essay-writing agent. Enhance agent knowledge with agentic search.

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