TensorFlow Developer Certificate in 2024: Zero to Mastery

Take this course to learn applied deep learning with TensorFlow 2 in a code-first, build-as-you-go style, but go in knowing the namesake exam is gone: the official TensorFlow Developer Certificate was discontinued on 1 May 2024, so the 'Certificate' in the title now only means skills, not a credential. Taught by Daniel Bourke (with Zero to Mastery's Andrei Neagoie), it runs roughly 64 hours across 11 hands-on notebooks covering neural network regression and classification, CNNs, transfer learning, NLP, and time-series forecasting, capped by three real projects (Food Vision, SkimLit, BitPredict). Aggregate sentiment is strongly positive, around 4.6/5 from over 12,000 Udemy ratings, with learners praising the practical, project-heavy apprenticeship approach and the large ZTM/Discord community. It is genuinely intermediate despite the 'Zero to Mastery' branding: the instructor himself lists ~6 months of Python plus a prior beginner ML course as prerequisites. Best value comes from the frequent Udemy promo price (around $13) rather than the ~$199 list price.

Excellent, well-rated applied TensorFlow training, but two caveats make it conditional: (1) the TensorFlow Developer Certificate it was built to prepare for no longer exists as of May 2024, so anyone enrolling for the credential should skip it; and (2) despite 'Zero to Mastery' branding it is not a true beginner course, the instructor requires ~6 months of Python and a prior ML course. Strong buy at the promo price for the right learner; weak buy for absolute beginners or credential-seekers.

Best for: Developers and aspiring ML engineers who already write Python and have completed at least one beginner machine-learning course, and who want hands-on, code-first experience building real deep-learning models (computer vision, NLP, time series) with TensorFlow 2 / Keras rather than heavy math theory. Also a good fit for people who learn best by coding along and want portfolio projects plus an active community.

Skip if: Complete beginners with no Python or ML background (the 'Zero to Mastery' name is misleading here), people whose primary goal was to earn the official TensorFlow Developer Certificate (the exam closed 1 May 2024), those who prefer rigorous mathematical/theoretical grounding over a code-first approach, and PyTorch-focused learners or anyone with 1+ years of deep-learning experience (the instructor explicitly says experienced practitioners should build projects instead).