Deep Learning Bootcamp
A beginner-friendly, highly interactive bootcamp designed to take you from foundational concepts to deploying real-world Artificial Intelligence applications. Through a completely project-based approach, you will master the core of Deep Learning, Artificial Neural Networks, and Computer Vision using Python and TensorFlow, ultimately building a professional-grade AI web application for your portfolio.
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About This Course
A beginner-friendly, highly interactive bootcamp designed to take you from foundational concepts to deploying real-world Artificial Intelligence applications. Through a completely project-based approach, you will master the core of Deep Learning, Artificial Neural Networks, and Computer Vision using Python and TensorFlow, ultimately building a professional-grade AI web application for your portfolio.
Silabus Course
01 Deep Learning Foundations & Environment Setup
Deep Learning Foundations & Environment Setup
- Understanding AI vs. Machine Learning vs. Deep Learning.
- Setting up the Python ecosystem (Google Colab, Jupyter, NumPy, Pandas).
- Introduction to Tensors and basic data manipulation.
- Mini Project: Exploratory Data Analysis (EDA) on a simple dataset.
02 Building Artificial Neural Networks (ANN)
Building Artificial Neural Networks (ANN)
- The anatomy of a Neural Network: Nodes, Weights, and Biases.
- Understanding Activation Functions (ReLU, Sigmoid, Softmax).
- Forward propagation and building your first Sequential model.
- Mini Project: Predicting customer churn using tabular data.
03 Model Training, Optimization & Best Practices
Model Training, Optimization & Best Practices
- Demystifying Loss Functions and Optimizers (Adam, SGD).
- The concept of Backpropagation and Gradient Descent.
- Techniques to prevent Overfitting: Dropout and Regularization.
- Mini Project: Improving the previous ANN model's accuracy using optimization techniques.
04 Introduction to Computer Vision & CNNs
Introduction to Computer Vision & CNNs
- How computers "see" images: Pixel representations and channels.
- The architecture of Convolutional Neural Networks (CNN).
- Understanding Convolutional filters, Padding, and Pooling layers.
- Mini Project: Building a basic CNN to classify simple shapes or digits (MNIST).
05 Advanced Image Processing & Data Augmentation
Advanced Image Processing & Data Augmentation
- The challenge of limited data in real-world scenarios.
- Implementing Data Augmentation (rotation, zoom, flips) to enrich datasets.
- Handling image sizes, batches, and input pipelines.
- Mini Project: Multi-class image classification on a custom dataset.
06 Transfer Learning & Pre-trained Models
Transfer Learning & Pre-trained Models
- Standing on the shoulders of giants: The concept of Transfer Learning.
- Utilizing state-of-the-art architectures (MobileNetV2, ResNet).
- Feature extraction vs. Fine-tuning for specific tasks.
- Mini Project: Classifying complex real-world objects using a pre-trained MobileNet model.
07 Model Export & Web Interface Development
Model Export & Web Interface Development
- Saving and loading trained Deep Learning models (
.h5or.keras). - Introduction to Streamlit for building rapid Machine Learning web apps.
- Connecting the backend model inference to a frontend UI.
- Mini Project: Creating a basic web page that accepts text/numbers and returns an AI prediction.
08 Capstone Project & Portfolio Building
Capstone Project & Portfolio Building
- End-to-end project planning and system architecture.
- Integrating the final Computer Vision model into a complete web application.
- Debugging, testing edge cases, and preparing for deployment.
Capstone Project
GreenGuard: Intelligent Plant Disease Diagnosis Web App
An end-to-end computer vision web application designed to assist farmers and plant enthusiasts. Users can upload a photo of a sick plant leaf directly through their web browser. Behind the scenes, the application utilizes a fine-tuned Transfer Learning model to analyze the visual patterns, instantly diagnose the specific disease, and provide actionable insights.
Why Choose Corporate Training?
Training programs tailored to your team and organization's needs
Team Discounts
Get special pricing for group registrations. The more participants, the bigger the discount.
Custom Curriculum
Training materials can be tailored to your team's specific needs and company projects.
Flexible Schedule
Choose training times that suit your team: weekday, weekend, or special sessions at your office.
Official Certificate
All participants receive a professional certificate upon completion.
Post-Training Support
Get free consultation access for 30 days after training to ensure successful implementation.
Real Projects
Participants will work on real-world projects that can be immediately applied in their work environment.
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Frequently Asked Questions
Find answers to common questions about our training programs
Yes, we provide online (remote), offline (at your office, for corporate only), or hybrid training options based on your team's needs. All formats receive the same materials and certificates.
For corporate training, the minimum is 3 participants. However, we also accept individual registrations.
Absolutely. We offer custom curriculum services where materials can be tailored to your technology stack, active projects, and your team's specific needs.
Yes, we offer special group discounts: 10% for 5-9 participants, 15% for 10-14 participants, and 20-30% for 15+ participants from the same company.
Training duration varies depending on the material. For corporate training, schedules can be customized to your team's needs - weekday, weekend, or custom schedules.
Yes, all participants who complete the training will receive an official certificate from Rumah Coding. Digital certificates can be verified online.
Of course. We provide free consultation support for 30 days after training to help with implementation. Participants also get access to our exclusive community and training recording materials.
Still have questions?
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For Companies?
Get special offers for your team training
- Up to 30% discount
- Custom curriculum
- Flexible schedule