AI Development Courses
Monthly courses covering artificial intelligence, machine learning, and modern AI development tools
Program Overview
Our AI Development courses are designed to keep you at the forefront of artificial intelligence technology. Each month, we offer intensive 4-week programs covering different aspects of AI development, from fundamentals to cutting-edge applications.
What You'll Learn
- Machine Learning fundamentals and algorithms
- Python programming for AI development
- Neural networks and deep learning
- Natural Language Processing (NLP)
- Computer Vision and image recognition
- AI model deployment and optimization
- TensorFlow and PyTorch frameworks
- AI ethics and responsible development
Career Outcomes
Graduates of our AI courses have gone on to work as:
- Machine Learning Engineers
- AI Research Scientists
- Data Scientists
- AI Product Managers
- Computer Vision Engineers
Monthly Course Topics
Machine Learning Fundamentals
Introduction to AI & ML
- Introduction to artificial intelligence
- Supervised vs unsupervised learning
- Linear and logistic regression
- Decision trees and random forests
- Model evaluation and validation
- Python libraries: scikit-learn, pandas
Deep Learning & Neural Networks
Building Intelligent Systems
- Neural network architecture
- Backpropagation and gradient descent
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- TensorFlow and Keras
- Model optimization techniques
Natural Language Processing
Understanding Human Language
- Text preprocessing and tokenization
- Word embeddings and vectorization
- Sentiment analysis
- Text classification
- Transformer models and BERT
- Chatbot development
Computer Vision
Teaching Machines to See
- Image processing fundamentals
- Object detection and recognition
- Image segmentation
- Face recognition systems
- OpenCV and PIL libraries
- Real-time video processing
Meet Your AI Instructors
Dr. Lisa Park
AI Research Lead
Former AI researcher at OpenAI with PhD in Computer Science. Specializes in deep learning and neural network architectures.
James Wilson
ML Engineer
Senior ML Engineer at Tesla with expertise in computer vision and autonomous systems. 10+ years in production AI systems.
Student Success Stories
"The AI course opened up a completely new career path for me. I went from a traditional software developer to an AI engineer at a leading tech company."
"The hands-on approach with real datasets and projects made all the difference. I could immediately apply what I learned to my current role."
Ready to Master AI Development?
Join our next monthly cohort and stay ahead of the AI revolution.