What will you in TensorFlow for Deep Learning Bootcamp Course
Prepare effectively for the TensorFlow Developer Certificate exam.
Build and train neural networks using TensorFlow 2 and Keras.
Apply deep learning to computer vision, time series, and NLP tasks.
Implement CNNs, RNNs, and transfer learning with real-world datasets.
Gain hands-on experience with TensorFlow tools like TensorBoard and TFLite.
Program Overview
Module 1: Introduction to TensorFlow & Certification Overview
⏳ 30 minutes
Understand the TensorFlow Developer Certificate scope.
Install TensorFlow and configure your dev environment.
Module 2: TensorFlow Fundamentals
⏳ 45 minutes
Tensors, operations, and auto-differentiation in TensorFlow.
Core concepts including broadcasting and reshaping.
Module 3: Neural Network Regression and Classification
⏳ 60 minutes
Build dense networks using the Keras Sequential API.
Loss functions, optimizers, and metrics in practice.
Module 4: Computer Vision & CNNs
⏳ 60 minutes
Implement convolutional neural networks for image classification.
Apply to datasets like Fashion MNIST and CIFAR-10.
Module 5: Transfer Learning & Fine-Tuning
⏳ 45 minutes
Use pretrained models (e.g., MobileNetV2) for custom tasks.
Feature extraction vs. full model fine-tuning.
Module 6: Time Series Forecasting & RNNs
⏳ 60 minutes
Build models with LSTM and GRU layers.
Predict future values using real time series data.
Module 7: Natural Language Processing (NLP)
⏳ 60 minutes
Text vectorization, embeddings, and sequence modeling.
Sentiment analysis and text generation applications.
Module 8: TensorFlow Tools & Deployment
⏳ 45 minutes
Track training with TensorBoard.
Export models using SavedModel and convert with TFLite.
Module 9: Final Exam Prep & Project Walkthrough
⏳ 75 minutes
Complete walkthrough of a certification-level project.
Tips and best practices for passing the official TensorFlow exam.
Get certificate
Job Outlook
High Demand: TensorFlow skills are essential for modern ML and AI roles.
Career Advancement: Certification strengthens your resume for data science and AI careers.
Salary Potential: $100K–$160K+ for certified TensorFlow developers.
Freelance Opportunities: Projects in computer vision, NLP, and AI model deployment.
Explore More Learning Paths
Boost your deep learning expertise with TensorFlow through these carefully curated programs designed to help you develop, train, and deploy advanced AI models.
Related Courses
DeepLearning.AI TensorFlow Developer Professional Certificate Course – Gain hands-on experience with TensorFlow, building neural networks and deploying AI solutions for real-world applications.
DeepLearning.AI TensorFlow Developer Professional Course – Master foundational and advanced TensorFlow techniques to create scalable, high-performance AI models.
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Course – Learn to implement AI, machine learning, and deep learning models in TensorFlow, from core concepts to practical projects.
Related Reading
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Specification: TensorFlow for Deep Learning Bootcamp Course
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