Share Description
This course provides a full-stack learnign in machine learning using TensorFlow, starting with the fundamentals and then slowly moving to advanced subjects. You will learn how to analyze data, create and train neural networks, optimize model performance and deploy AI solutions using the TensorFlow framework. Step-by-step Instructions, practice with real datasets under guidance and practice questions help you ensure that you are ready to qualify for the TensorFlow Developer Certificate at the end.
Topics Covered:
- Python & TensorFlow Basics: Set up your development environment and master tensor operations and foundational neural network structures.
- Data Preprocessing & Pipelines: Handle real-world datasets using TensorFlow Data API, data augmentation, normalization and feature engineering.
- Supervised Learning Models: Build and train regression and classification models using DNNs, CNNs and pre-trained architectures like MobileNet and EfficientNet.
- Convolutional Neural Networks (CNNs): Explore advanced architectures, techniques like pooling, dropout and batch normalization for image recognition tasks.
- Recurrent Neural Networks (RNNs): Learn RNN and LSTM models for sequence processing, time series forecasting and natural language tasks.
- Transfer Learning & Fine-Tuning: Accelerate model training and improve performance using reusable pre-trained models.
- Model Evaluation & Optimization: Measure accuracy, precision, recall, confusion matrices and use hyperparameter tuning and callbacks to refine your models.
- And many more topics to explore.
Who Should Take This Course:
- Aspiring AI & ML Engineers aiming to certify their TensorFlow expertise.
- Web Developers & Software Engineers transitioning into the AI/ML domain.
- Data Scientists & Analysts who want hands-on experience with deep learning frameworks.
- Students & Bootcamp Graduates seeking a job-ready portfolio and certification.
- Tech Professionals preparing for roles involving AI, neural networks or intelligent systems.
Why Take This Course:
Certification is important in the field of machine learning as it has become a demanding skill in industries. This course offers a strong, practical curriculum that appears like a bootcamp, as well as built-in support for obtaining the official TensorFlow Developer Certificate. By the end of this course, you will be able to design your own deep learning models and will also have a globally recognized certification that validates your skills.
