Front-end engineers work closely with designers to make websites beautiful, functional, and fast. This Career Path will teach you not only the necessary languages and technologies, but how to think like a front-end engineer, too. By the end, you’ll have the portfolio and interview skills you need to start for your new career.
No matter what you’re building, having a strong foundation is crucial — that’s where back-end engineers come in. In this Career Path, you’ll start with programming servers and client-side interfaces, then level up to designing databases. By the end, you’ll have everything you need to start your career as a back-end engineer.
In this course, you’ll be introduced to the wonderful world of Android. You’ll find out why Android is such an awesome place to be developing apps. You’ll meet Android Studio—the Integrated Development Environment (IDE) for Android, and you’ll learn the fundamentals skills you need to build simple Android apps and run them on a real or simulated virtual device!
DevOps is an application software development methodology. In order to streamline the process, DevOps brings together developers and the operations team. This helps drive productivity and collaboration by automating infrastructure and workflows as well as evaluating performance.
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Python is the most popular programming language of the world - it's versatile, easy to learn and very powerful! We already got a Python course which you can take if you want to learn Python. But one of the primary things you can build with Python is a website! You can use Python for web development. In detail, this course covers: Python, Jupyter, Numpy, Pandas Git, Linux Terminal, File I/O Statistics, Probability, Linear Algebra Distributions, Sampling, Hypothesis Testing Databases, SQL, Index, Partition, Schema Web API, Scraping, Automation, Flask , EDA, Data wrangling, Feature Engineering Supervised & Unsupervised Models Ensembling Factor analysis Predictive Modeling & Forecasting Recommender system Keras, TensorFlow, PyTorch Keras, TensorFlow, PyTorch Neural Networks, Computer Vision, NLP Reinforcement Learning Research Papers in Deep Learning Warehouse - AWS S3, HDFS, HBase, NoSQL Ingestion - Kafka Analysis - PySpark, YARN, Airflow, Hive
