Neural Networks with TensorFlow & Keras
Build production-grade neural networks with TensorFlow 2 and the Keras API. Cover the full pipeline from data ingestion to model serving with TensorFlow Serving and TF Lite.
What You'll Learn
Build neural networks with the Keras Sequential and Functional APIs
Use the tf.data pipeline for efficient large-scale data loading
Train models with custom training loops using GradientTape
Implement callbacks: EarlyStopping, ModelCheckpoint, TensorBoard
Export and serve models with TensorFlow SavedModel and TF Serving
Deploy lightweight models to mobile and edge with TensorFlow Lite
Curriculum Breakdown
Learning Format
Video Lessons
High-quality recorded lessons you can watch at your own pace.
Hands-on Projects
Real-world projects that reinforce every concept you learn.
Certificate
Earn a verifiable certificate upon successful completion.
Certification Details
TensorFlow & Keras Developer Certificate
Issued by Tech101
Certify your TensorFlow skills aligned with industry-standard neural network development.
Certificate Requirements
- Shareable on LinkedIn
- PDF download
- Unique verification ID
- Graded assessment included
Completion Certificate
Awarded upon finishing all course content and submitting projects. Shows dedication and completion.
Graded Certificate
Earned by passing the final assessment with 70%+ score. Demonstrates verified skill proficiency.
Your Instructor
Sarah Johnson
Data Scientist & ML Engineer
Sarah has 10 years of experience in data science and machine learning, previously at Google AI and DeepMind.
Requirements & Prerequisites
Technical Requirements
- Deep Learning Fundamentals (or strong PyTorch experience)
- Python, NumPy, and Pandas proficiency
Who This Course Is For
- Deep learning students moving to the TensorFlow ecosystem
- Engineers building ML-powered products and services
- Data Science & AI track students
Student Reviews
Frequently Asked Questions
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Join 23K+ students who are already building real skills with Neural Networks with TensorFlow & Keras.
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