Artificial Intelligence (AI) Bootcamp
Completed by Motlalepule Lerato Ivy Khauta on January 19, 2026
Verified learner ·
Badge ID: UKl27LuKSSapduy7ipkmIA
About this Badge
This bootcamp is designed to take complete beginners or early-career tech professionals through the core concepts of Artificial Intelligence, with an emphasis on hands-on learning, collaboration, and project delivery.
Learning objectives
- Develop and apply Python programming skills for data manipulation, analysis, and automation using libraries like NumPy and Pandas.
- Design and evaluate AI prompts and strategies for effective customer engagement and success using Generative AI and ChatGPT.
- Build and train machine learning models for regression and classification tasks using Python libraries such as NumPy and scikit-learn.
- Implement ethical AI practices by understanding bias, accountability, and responsible AI principles in real-world applications.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI Agents
- Machine Learning Methods
- Applied Machine Learning
- Business Process Automation
- Return On Investment
- Artificial Neural Networks
- Ethical Standards And Conduct
- Law, Regulation, and Compliance
- Google Cloud Platform
- Large Language Modeling
- Natural Language Processing
- AI Product Strategy
- Anomaly Detection
- Google Gemini
- Customer experience improvement
- Dimensionality Reduction
- Prompt Patterns
- Responsible AI
- Restful API
- Customer Success Management
- AI Personalization
- Case Studies
- LLM Application
- Market Opportunities
- Organizational Structure
- Predictive Modeling
- Information Privacy
- Personalized Service
- Customer Insights
- Predictive Analytics
- Strategic Thinking
- Customer Engagement
- Reinforcement Learning
- Web Scraping
- B2B Sales
- Programming Principles
- Deep Learning
- Unsupervised Learning
- Client Support
- Customer Service
- Legal Risk
- Statistical Modeling
- Business Ethics
- Feature Engineering
- Algorithms
- ChatGPT
- Jupyter
- JSON
- NumPy
- Risking
- Data Processing
- Computer Programming
- Data Ethics
- Data Transformation
- Systems Integration
- Data Science
- Scripting
- Business Research
- Automation
- Analysis
- Scikit Learn (Machine Learning Library)
- Classification And Regression Tree (CART)
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Data-Driven Decision-Making
- Application Programming Interface (API)
- Skills section collapsed. Showing 6 of 67 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.