Artificial Intelligence Bootcamp (AI)
Completed by Jodie Solomons on May 6, 2026
Verified learner ·
Badge ID: yPuVohcxSr67laIXMfq-Dg
About this Badge
Artificial Intelligence (AI) Bootcamp – Learning Pathway A fast-paced program covering AI fundamentals, machine learning, deep learning, and NLP. Learners build hands-on projects, gaining real-world skills to develop and deploy AI models for practical applications.
Learning objectives
- Develop and apply foundational and advanced techniques in generative AI, including prompt engineering, large language models, and multimodal prompting, to create accurate and context-aware outputs.
- Build, train, and deploy machine learning models using supervised and unsupervised learning techniques, including regression, classification, clustering, and recommender systems, to solve real-world problems.
- Gain practical programming skills in Python, including data manipulation, file handling, and using libraries like NumPy and Pandas, to automate tasks and analyze data effectively.
- Explore the ethical, societal, and business implications of AI, while identifying opportunities to integrate AI solutions and strategies into organizational and professional contexts.
Skills learned
- Machine Learning Methods
- Classification Algorithms
- Applied Machine Learning
- Artificial Neural Networks
- Generative Model Architectures
- Large Language Modeling
- Natural Language Processing
- AI Product Strategy
- Google Cloud Platform
- Anomaly Detection
- Model Evaluation
- Dimensionality Reduction
- AI Enablement
- Prompt Patterns
- Logistic Regression
- Responsible AI
- Artificial Intelligence
- LLM Application
- Restful API
- Model Deployment
- Predictive Modeling
- Decision Making
- Web Scraping
- Reinforcement Learning
- Supervised Learning
- AI Workflows
- Programming Principles
- Python Programming
- Risk Mitigation
- Deep Learning
- Unsupervised Learning
- Generative AI
- Data Preprocessing
- Data Structures
- Feature Engineering
- Prompt Engineering
- Regression Analysis
- Machine Learning
- Business Logic
- Data Manipulation
- Algorithms
- ChatGPT
- Jupyter
- JSON
- NumPy
- Robotics
- 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)
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Learning content completed
Some of the content and skills presented have been contributed by the content provider.