This track equips learners to proficiently create, integrate, test, and deploy AI-driven applications and prompt engineering solutions, leveraging modern AI models and real-life cloud environments. This is a back-end oriented project.
Who this track is for?
- SE Students who want to gain experience and knowledge in AI and apply it for AI-Driven apps.
- Mid-High Proficiency
- Regular pace is OK
Example job postings
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Resources
Time to complete
- Between 2-3 months for MVP
Main Topics
- Fundamentals of AI, Machine Learning, LLM’s
- Evolution of AI - History of Machine Learning with examples of how it was used in each step.
- What changed with LLM’s - ChatGPT Revolution
- Current market leads and differences between them
- Prompt Engineering
- API Integration with AI models
- Structured Output w/ JSON
- Data Preprocessing and Cleaning
Guidelines for Choosing Idea
- The project must include data that is not part of the conversation and is dynamic (not in the system message).
- Prompt engineering project only - too simple.
- The project needs to have a clear business purpose and not just demonstrate abilities to use API.
- Create Automations that make processes more efficient.
Examples of projects
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Examples of bad projects
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Progress tracking
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