983 Programming Languages courses

This course focuses on Python 3 and uses modern Python 3.7 and Python 3.8. It is designed to support Python application development on Windows, macOS, and Linux. As Python 2 is no longer maintained by the Python development team, and there are no more security updates, the focus has now shifted to using Python 3.

Elevate your SQL skills with our comprehensive training course. Learn database management, query optimization, and data manipulation techniques. Enroll now to become proficient in SQL and propel your career in data-driven industries.

Build your own AI-driven image classifier web application

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

The Bash Scripting, Linux and Shell Programming Masterclass course is a comprehensive guide to mastering Bash scripting, Linux, and shell programming. It's designed to address a common challenge: the complexity of navigating and controlling Linux-based systems. By simplifying these concepts, the course empowers learners to manage and operate within a Linux environment efficiently. The ability to script and program in the shell opens doors to streamlined processes, automation, and enhanced productivity, benefits that are crucial in today's tech-driven world. Through this masterclass, you will learn the essentials of Linux navigation, file management, and shell programming. Each section is crafted to build your skills progressively, ensuring a deep understanding of each aspect. Whether managing users, handling text files, or exploring advanced Bash features, the course is structured to provide practical, real-world applications. This approach not only enhances your technical skills but also boosts your problem-solving abilities within a Linux context. By the end of this course, you will be proficient in the technical aspects of Linux and Bash scripting and gain a strategic edge in applying these skills. The course is designed for accessibility, allowing learners to study at their own pace, from any device. This flexibility ensures that you can integrate learning seamlessly into your schedule, making it ideal for both beginners and those looking to refresh their skills Learning Outcomes Gain proficiency in basic Bash scripting and shell programming. Learn to navigate efficiently within the Linux environment. Develop skills to access and use help resources in Linux. Acquire expertise in managing files and folders in Linux. Understand how to manipulate and process text files. Learn to manage user accounts and permissions in Linux. Master techniques for terminating programs and safe logouts. Discover efficient shortcuts for faster Linux operations. Deepen understanding of Bash specifics and advanced features. Access a wealth of resources for ongoing Linux learning. Why choose this Bash Scripting, Linux and Shell Programming Masterclass? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Bash Scripting, Linux and Shell Programming Masterclass for? Beginners eager to learn about Linux and shell programming. IT professionals seeking to enhance their scripting skills. System administrators aiming to improve their Linux proficiency. Developers interested in automating tasks with Bash scripting. Anyone curious about mastering Linux-based systems. Career path Linux System Administrator: £25,000 - £50,000. DevOps Engineer: £30,000 - £70,000. IT Support Specialist: £20,000 - £40,000. Software Developer (with Linux skills): £25,000 - £55,000. Network Engineer: £25,000 - £50,000 Prerequisites This Bash Scripting, Linux and Shell Programming Masterclass does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Bash Scripting, Linux and Shell Programming Masterclass was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction 00:02:00 Bash vs Shell vs Command Line vs Terminal 00:06:00 Section 02: Navigation Listing Folder Contents (ls) 00:05:00 Print Current Folder (pwd) 00:01:00 Change Folder (cd) 00:03:00 Using A Stack To Push Folders (pushd/popd) 00:03:00 Check File Type (file) 00:01:00 Find File By Name (locate) & Update Locate Database (updatedb) 00:02:00 Find A Command (which) 00:02:00 Show Command History (history) 00:02:00 Section 03: Getting Help Show Manual Descriptions (whatis) 00:01:00 Search Manual (apropos) 00:02:00 Reference Manuals (man) 00:02:00 Section 04: Working With Files/Folders Creating A Folder (mkdir) 00:02:00 Creating A File (touch) 00:02:00 Copy Files/Folders (cp) 00:02:00 Move & Rename Files/Folders (mv) 00:02:00 Delete Files/Folders (rm) 00:02:00 Delete Empty Folder (rmdir) 00:02:00 Change File Permissions (chmod) 00:06:00 Section 05: Text Files File Concatenation (cat) 00:03:00 File Perusal Filter (more/less) 00:02:00 Terminal Based Text Editor (nano) 00:03:00 Section 06: Users Run Commands As A Superuser (sudo) 00:03:00 Change User (su) 00:03:00 Show Effecter User and Group IDs (id) 00:02:00 Section 07: Killing Programs & Logging Out Kill A Running Command (ctrl + c) 00:02:00 Kill All Processes By A Name (killall) 00:02:00 Logging Out Of Bash (exit) 00:01:00 Section 08: Shortcuts Tell Bash That There Is No More Input (ctrl + d) 00:02:00 Clear The Screen (ctr + l) 00:02:00 Zoom In (ctrl + +) 00:02:00 Zoom Out (ctrl + -) 00:02:00 Moving The Cursor 00:02:00 Deleting Text 00:04:00 Fixing Typos 00:03:00 Cutting and Pasting 00:03:00 Character Capitalisation 00:03:00 Section 09: Bash Bash File Structure 00:03:00 Echo Command 00:04:00 Comments 00:04:00 Variables 00:06:00 Strings 00:06:00 While Loop 00:04:00 For Loop 00:04:00 Until Loop 00:03:00 Break & Continue 00:03:00 Get User Input 00:02:00 If Statement 00:09:00 Case Statements 00:06:00 Get Arguments From The Command Line 00:04:00 Functions 00:05:00 Global vs Local Variables 00:03:00 Arrays 00:06:00 Shell & Environment Variables 00:06:00 Scheduled Automation 00:03:00 Aliases 00:03:00 Wildcards 00:03:00 Multiple Commands 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Bash Scripting; Linux and Shell Programming Masterclass 00:00:00

Master the in-demand AutoCAD to excel-VB.NET programming by taking part in this all-encompassing Programming AutoCAD to Excel Using

UX Process for Beginners from User Interviews to Personas, User stories, Information architecture to Usability testing

Overview With the ever-increasing demand for Go Lang in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Go Lang may be. Learning about Go Lang or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Go Lang . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Go Lang is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Go Lang course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Go Lang course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Go Lang course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Go Lang , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Go Lang , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Go Lang , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Go Lang course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.  Course Curriculum Module 1_ Introduction Module 1_ Introduction 00:00 Module 2_ Data Types and Variables Module 2_ Data Types and Variables 00:00 Module 3_ Conditional Statements Module 3_ Conditional Statements 00:00 Module 4_ Iteration Module 4_ Iteration 00:00 Module 5_ Functions Module 5_ Functions 00:00