20 Days · Enable experienced Java developers to build practical AI capabilities using Python, covering language fundamentals, AI frameworks, data preparation, model training and deployment workflows.
- 1.1 Transitioning from Object-Oriented Java to Functional
- 1.2 Python Basics for Data Processing & AI
- 1.3 Mastering Core Frameworks: NumPy, Pandas, Matplotlib
- 1.4 Data Preparation & Preprocessing for GIS & Enterprise Data
- 1.5 Building your first Data Driven Analysis Pipeline
- 2.1 Modern Model Training Workflows From Scikit-learn to Deep Learning
- 2.2 Practical Usage of Transformers, LLMs, BERT, Vision Transformers
- 2.3 Integrating AI Components into Existing APIs & Web Apps
- 2.4 Deploying Production Grade AI Models with FastAPI & Docker