AI Bootcamp
Completed by Inga Nguse on June 24, 2026
Verified learner ·
Badge ID: hQU6PDD2SBiFOjww9pgYoA
About this Badge
This AI Bootcamp is designed to equip learners with a strong foundation in Artificial Intelligence, Machine Learning, Generative AI, and Responsible AI practices. Through a combination of beginner-friendly concepts and hands-on technical training, participants will explore how modern AI systems are built, trained, and applied in real-world environments
Learning objectives
- Craft and evaluate effective prompts for generative AI models, utilizing techniques such as zero-shot and few-shot prompting, and advanced methods like Chain-of-Thought.
- Build and deploy machine learning models using Python, focusing on supervised and unsupervised learning techniques, including regression, classification, clustering, and recommender systems.
- Understand and apply ethical principles in AI development, addressing bias, accountability, and societal impacts through case studies and real-world examples.
Skills learned
- Machine Learning Algorithms
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Applied Machine Learning
- Random Forest Algorithm
- Ethical Standards And Conduct
- Generative Model Architectures
- Law, Regulation, and Compliance
- Large Language Modeling
- Natural Language Processing
- AI Product Strategy
- Decision Tree Learning
- Google Cloud Platform
- Anomaly Detection
- Google Gemini
- Model Evaluation
- Dimensionality Reduction
- Prompt Patterns
- Logistic Regression
- Responsible AI
- AI Enablement
- Artificial Intelligence
- Case Studies
- Model Deployment
- Predictive Modeling
- Decision Making
- AI Integrations
- AI Personalization
- Reinforcement Learning
- Supervised Learning
- Compliance Training
- B2B Sales
- Python Programming
- Model Optimization
- Model Training
- Deep Learning
- Unsupervised Learning
- AI literacy
- Transfer Learning
- Legal Risk
- Generative AI
- Data Preprocessing
- Feature Engineering
- Prompt Engineering
- Regression Analysis
- Algorithms
- ChatGPT
- Jupyter
- Tensorflow
- NumPy
- Robotics
- Risk Analysis
- Data Ethics
- Data Science
- Accountability
- Automation
- Data Analysis
- Scikit Learn (Machine Learning Library)
- Fine-tuning
- Skills section collapsed. Showing 6 of 59 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.