Irrespective of when you take the L2D course, the workload is roughly the same. We recommend about 8 hours of self-study per lesson topic: this covers time for attending our live lectures, as well as self-study and completing assignments. There is an assignment due at the end of each lesson topic release. If learners opt for joining the paced Fall cohort that commences in October of each year, these hours of study are spread out over a fortnightly period. For learners who opt for the accelerated Summer cohort that commences in June, these hours of study are condensed into a single week.
While we average the hours of study per topic to be roughly 8 hours in total, realistically, this varies slightly. Many learners find the Basic Python topics faster to complete, while the more complex Machine Learning topics may take individuals a longer period of time to finish, for example.
Once a learner has completed the final Machine Learning lessons, we assess their learning with a Final Project; completion of this is allocated a further 30 days, and tutor support is available throughout, should learners have any questions.