Prompt Engineering For Growth Hackers
3 lessons
A paid course from GrowthHackers University, 3 lessons.
Generative AI
A paid course from Noble Desktop.
Three hundred hours, which is the length of a career change rather than a course, and Noble Desktop treats it as one.
The subject is software engineering as it is now practised with AI assistance: building and deploying full-stack applications where an agent writes a good deal of the code and the engineer is responsible for all of it. Version control, branching and team process come early, because code written quickly still has to be reviewed and merged by people.
Architecture and security get their own stretch — scalable systems, infrastructure, and the practices that keep an application standing once real users reach it. Accessibility and user experience are taught as engineering constraints rather than as design decoration.
It ends on a portfolio of real projects. Taught live in New York or online, on a fixed schedule, with mentoring sessions outside class.
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3 lessons
A paid course from GrowthHackers University, 3 lessons.
1 lesson, about 9 hours
A single session on it & networking, about 9 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 2 hours
A single session on devops, about 2 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 2 hours
A single session, about 2 hours, published on YouTube by Build Apps With Paulo. Watched here on the course page.
3 hours
Exploratory Data Analysis (EDA)
Three hours on looking at a dataset properly before modelling it, and on the features built from what you find.
1 hour
Exploratory Data Analysis (EDA)
A live session working one real dataset end to end, from first look to engineered features.
1 lesson, about 12 hours
A single session on generative ai, about 12 hours, published on YouTube by Intellipaat. Watched here on the course page.
1 lesson, 23 minutes
A single session on generative ai, 23 minutes, published on YouTube by Google Cloud Tech. Watched here on the course page.
1 lesson, 18 minutes
A single session on generative ai, 18 minutes, published on YouTube by Henrik Kniberg. Watched here on the course page.