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DeepLearning.AI TensorFlow Developer Professional Certificate

A top-notch deep learning course covering TensorFlow, CNNs, RNNs, and AI model deployment, perfect for those pursuing AI engineering careers.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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What you will learn in DeepLearning.AI TensorFlow Developer Professional Certificate Course

  • Master TensorFlow, one of the most widely used frameworks for deep learning.

  • Build and train neural networks for image recognition, natural language processing (NLP), and more.

  • Understand convolutional neural networks (CNNs) and their application in computer vision..

  • Learn about sequence models and recurrent neural networks (RNNs) for time-series data.

  • Work on real-world AI projects using TensorFlow in Python and Jupyter Notebooks.

  • Optimize deep learning models for efficiency, scalability, and deployment.

Program Overview

Introduction to TensorFlow for AI & Machine Learning

⏱️4-6 weeks

  • Learn TensorFlow basics, including tensors, operations, and computational graphs.

  • Understand deep learning fundamentals and neural network architecture.

  • Train your first neural network for simple AI tasks.

Convolutional Neural Networks (CNNs) for Image Processing

⏱️6-8 weeks

  • Explore CNN architectures like ResNet and MobileNet.

  • Apply image classification, object detection, and transfer learning.

  • Use data augmentation techniques to improve model performance.

Recurrent Neural Networks (RNNs) & Sequence Models

⏱️8-10 weeks

  • Understand how RNNs and LSTMs process sequential data.

  • Train models for text generation, sentiment analysis, and speech recognition.

  • Work with NLP datasets and time-series forecasting.

Advanced TensorFlow: Model Optimization & Deployment

⏱️10-12 weeks

  • Learn hyperparameter tuning, dropout, and batch normalization.

  • Optimize models for scalability, speed, and performance.

  • Deploy models using TensorFlow Serving and TensorFlow Lite.

Capstone Project: Real-World AI Application

⏱️12-15 weeks

  • Apply TensorFlow skills to solve a real-world deep learning problem.

  • Build an AI project using computer vision or NLP techniques.

  • Deploy and present your final trained model.

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Job Outlook

  • Deep learning engineers are in high demand, with a 30% job growth expected by 2030.

  • Entry-level AI engineers earn $90K – $120K per year, while experienced professionals can earn $150K+.

  • TensorFlow expertise is valuable in AI, machine learning, robotics, and self-driving technologies.

  • Employers seek candidates with AI model deployment and optimization skills.

  • This certification helps you stand out for roles like AI Engineer, Data Scientist, and Machine Learning Engineer.

9.5Expert Score
Highly Recommended
This TensorFlow Professional Certificate is an excellent choice for AI and ML enthusiasts who want hands-on experience in deep learning.
Value
9.2
Price
9.2
Skills
9.5
Information
9.4
PROS
  • Comprehensive TensorFlow training with hands-on exercises.
  • Covers image processing, NLP, and AI deployment.
  • Beginner-friendly, with real-world projects and datasets.
  • Industry-recognized TensorFlow certification for career growth.
CONS
  • Requires Python knowledge – not ideal for absolute beginners.
  • Doesn’t cover reinforcement learning or generative AI models.
  • Some advanced AI topics may require additional learning resources.

Specification: DeepLearning.AI TensorFlow Developer Professional Certificate

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

DeepLearning.AI TensorFlow Developer Professional Certificate
DeepLearning.AI TensorFlow Developer Professional Certificate
Course | Career Focused Learning Platform
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