AI_Bootcamp
Completed by Thabile Mfeka on May 22, 2026
Verified learner ·
Badge ID: eOjirOAFTw6o4qzgBd8Olg
About this Badge
AI Foundations, Prompt Engineering, Applied AI Projects, and Portfolio Development.
Learning objectives
- Develop and deploy generative AI applications using large language models and prompt engineering techniques.
- Build and train supervised machine learning models for regression and classification tasks using Python libraries.
- Apply Python programming skills to automate tasks and analyze data using libraries like NumPy and Pandas.
- Understand AI terminology and applications, and identify opportunities to integrate AI into business strategies.
Skills learned
- Machine Learning Methods
- Applied Machine Learning
- Artificial Neural Networks
- Generative Model Architectures
- Large Language Modeling
- Natural Language Processing
- AI Product Strategy
- Google Cloud Platform
- Model Evaluation
- Classification Algorithms
- Prompt Patterns
- Logistic Regression
- Responsible AI
- AI Enablement
- Artificial Intelligence
- LLM Application
- Restful API
- Model Deployment
- Predictive Modeling
- Decision Making
- Web Scraping
- Reinforcement Learning
- Supervised Learning
- Programming Principles
- Python Programming
- Deep Learning
- Unsupervised Learning
- AI Workflows
- Generative AI
- Data Preprocessing
- Data Structures
- Feature Engineering
- Prompt Engineering
- Regression Analysis
- Machine Learning
- Data Manipulation
- ChatGPT
- Jupyter
- JSON
- NumPy
- Scalability
- Computer Programming
- Data Ethics
- Data Science
- Context Management
- Automation
- Data Analysis
- Scikit Learn (Machine Learning Library)
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- File I/O
- Application Programming Interface (API)
- Skills section collapsed. Showing 7 of 52 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.