Modern AI has its own concepts, vocabulary, and ways of working that are unfamiliar even to experienced engineers. This course is the technical front door to the catalogue: it gives practitioners the grounding they need before entering any of the intermediate and advanced tracks, so they are not learning fundamentals and specifics at the same time.
Students build an accurate mental model of what today’s AI is, how language models behave, what the application landscape looks like, and how quality and responsibility are handled. The emphasis is on genuine understanding rather than hype or hand-waving.
Labs are gentle, guided exercises that let students touch each concept directly, so they finish able to reason about AI systems and ready to go deeper in DEV, MLE, or the other tracks.
Audience Profile
• Developers and engineers new to AI
• Technical staff about to work on AI projects
• Practitioners who need fundamentals before deeper courses
• Anyone wanting an accurate technical grounding in AI
Prerequisites
• General software or technical familiarity
• Comfort with basic programming for the light labs
• No prior AI or machine-learning experience required
• Curiosity and a willingness to question hype
Course materials