AI Foundations
Completed by CIMETTI GIUSEPPE on August 11, 2026
Verified learner ·
Badge ID: 3yUYLtxLTOClGC7cS7zgow
About this Badge
Generative AI, Machine Learning, AI Solutions
Learning objectives
- Design AI solution architectures by analyzing stakeholder requirements and integrating third-party tools and models.
- Craft effective prompts for generative AI models using techniques like zero-shot and few-shot prompting to enhance output quality.
- Understand and apply machine learning concepts, including supervised and unsupervised learning, to real-world business scenarios.
- Explore generative AI applications across various domains and practice using tools like GPT and DALL-E for text, image, and code generation.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Artificial Neural Networks
- Generative Model Architectures
- Large Language Modeling
- Natural Language Processing
- AI Product Strategy
- Model Evaluation
- Hugging Face
- Classification Algorithms
- Prompt Patterns
- Responsible AI
- AI Enablement
- Functional Requirement
- Artificial Intelligence
- IBM Cloud
- Predictive Modeling
- Decision Making
- Reinforcement Learning
- Supervised Learning
- Deep Learning
- Unsupervised Learning
- AI Workflows
- Generative AI
- Data Preprocessing
- Prompt Engineering
- Regression Analysis
- Machine Learning
- Image Analysis
- Business Requirements
- Data Collection
- Requirements Analysis
- ChatGPT
- OpenAI
- Scalability
- Solution Design
- Data Ethics
- Data Science
- Systems Integration
- Context Management
- Data Analysis
- Augmented and Virtual Reality (AR/VR)
- Generative Adversarial Networks (GANs)
- Skills section collapsed. Showing 5 of 43 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.