Constructor Academy

This bootcamp provides comprehensive instruction including statistics and experimental design, building a data science toolkit, exploring data visualization and machine learning, deep learning, and natural language processing. The course provides an overview of the role of a Machine Learning Engineer.

A complete bootcamp in part-time format, this program provides comprehensive instruction including statistics and experimental design, building a data science toolkit, exploring data visualization and machine learning, deep learning, and natural language processing. The course provides an overview of the role of a Machine Learning Engineer.

In bootcamp format, students are introduced to JavaScript, HTML, CSS, and React and state management with Redux. Participants also address Python and databases, back end management with Django, Docker, and deployment.

This part-time bootcamp introduces students to JavaScript, HTML, and CSS, as well as React and state management with Redux. Attendees also address Python and databases, back end management with Django, Docker, and deployment.

Students learn Python fundamentals in this class. Topics include variables, data types and structures, control flow, functions, modules, and objects. Also taught are concrete applications, such as analyzing and visualizing data, accessing data from web services such as Google maps API, creating a unique app, accessing SQL databases, and generating automated reports.

Blockchain, digital currencies, and smart contract platforms are covered extensively in this course. Students learn how to interact with blockchains manually, basic cryptography, such as hash functions and discrete logarithms, and learn about keys, wallets, addresses, and transactions. Also addressed is ensuring secure transactions, mining work, Ethereum, Solidity, and interaction with smart contracts.

In this course, students learn how to convert business problems into machine learning problems, define requirements for a ML problem, including KPIs, using an ML canvas, and create different ML pipelines. Students also learn about data transformation, feature engineering, hyper-parameter tuning, loss functions, and cross-validations on regression and classification tasks. Additionally, students design and solve several ML cases regarding predictive maintenance, churn prediction, and customer segmentation.

In this part-time bootcamp, students will learn the skills required to create compelling designs and user experiences across types of devices and apps. The program covers the entire process: from user research, to prototyping with Figma, to final deployment. In the final three weeks, students build a professional-grade project that can be shown to potential employers. Career support is provided.

This course provides the tools and skills that participants will need to succeed as a Product Manager or other type of Agile leader. Students will learn market sensing, value strategies, leadership skills, Agile delivery concepts, and other relevant skills. By the end of the class, students will be able to guide the development of products and platforms from the business idea to launch.