Differentiability Course
Master differentiability from the ground up — from epsilon-delta foundations to multivariable calculus and advanced theory. This course builds rigorous analytical skills through proofs, differentiation techniques, and real-world applications across physics, economics, and machine learning. Whether you are strengthening your calculus core or pushing into functional analysis, every concept is developed with precision and depth.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
You will develop a thorough understanding of limits, continuity, and the formal definition of the derivative, then systematically master every standard differentiation rule. The course covers implicit differentiation, higher-order derivatives, the Mean Value Theorem, and its consequences for function behaviour. You will extend these ideas to multivariable settings, working with partial derivatives, gradient vectors, and total differentiability. Advanced topics include generalised derivatives, Lipschitz conditions, and complex differentiability. Applied sections connect theory to optimisation, differential equations, and gradient-based machine learning methods.
Elevify advantages
Develop skills
- Limit and Continuity Analysis: Evaluate limits rigorously and classify function behaviour at any point.
- Differentiation Rule Application: Differentiate algebraic, trigonometric, exponential, and composite functions fluently.
- Multivariable Differentiability: Compute partial derivatives, gradients, and directional derivatives for multivariable functions.
- Optimisation Problem Solving: Locate and classify extrema using derivatives in both constrained and unconstrained settings.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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