A 4-month hands-on program covering Python, machine learning, deep learning, computer vision and generative AI—designed to help learners understand how modern AI systems are built, integrated and applied.
Python fundamentals, NumPy, Pandas, data handling, visualization and the mathematics intuition needed for ML.
Supervised and unsupervised learning, model training, evaluation, feature engineering and practical ML workflows.
Neural networks, deep learning concepts, image classification, object detection and computer vision workflows.
LLMs, prompting, APIs, embeddings, vector databases, RAG, AI agents, deployment concepts and capstone.
Prepare data, train a model, evaluate performance and explain your results using an end-to-end workflow.
Use image data to explore classification or object-detection concepts and understand the model pipeline.
Build an application that connects to an LLM and explore RAG, prompt design, structured outputs or agent workflows.
The program is suitable for technology professionals, students and career changers who want an applied introduction to AI engineering. Prior programming experience is helpful but not required if you are willing to put in the practice time.
Send us your name, phone number, current occupation and a short note about what you want to build or learn with AI.