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BlueSpace EdTech is an e-learning platform that focuses on providing comprehensive educational courses in the field of Full Stack Development, Data Analyst and AI Machine learning.

The courses are designed to help learners acquire the knowledge and skills necessary for developing modern web and mobile applications. We offers both online and offline classes with all the necessary resources to learn, practice, and stay updated on all the trending technologies.

With a team of experienced professionals, we provide quality guidance and support throughout the course duration and also provide placement assistance for those who successfully complete their course.

About Us

BlueSpace EdTech offers full stack developer courses for individuals looking to build a career in software development. Our courses are carefully designed to provide practical, hands-on learning experience that prepares students for real-world challenges. At BlueSpace EdTech, we are committed to providing the highest quality education through a combination of traditional classroom learning and practical training.

Our full stack developer course covers all the essential skills required to become a proficient developer, including front-end and back-end web development, server-side scripting, database management, and project management. Our course curriculum is designed in collaboration with industry experts to ensure that our students receive the most up-to-date and relevant training.

We use a project-based approach that allows students to work on real-life applications, building their portfolio and experience as they progress through the course. Our experienced instructors provide ongoing guidance and support throughout the course to help students navigate any challenges they may encounter.

Graduates of the BlueSpace EdTech full stack developer course are well-prepared for a career in software development, equipped with the knowledge and skills needed to handle complex development projects and advance their careers in the industry.

The BlueSpace EdTech offers three courses for *Full Stack Developer, Data Analytics and Machine Learning.

The Full Stack development course focuses on tools and technologies used to create interactive, dynamic websites and web applications from the ground up. This comprehensive course covers topics such as HTML, CSS, JavaScript, databases, and frameworks like Node.js and React.js.

The Data Analytics course introduces the students to a range of analytical techniques used to interpret large datasets with the aim of extracting knowledge that can be utilized in decision-making processes in an organization. Students are taught fundamentals such as scripting languages, mathematical modeling practices and related visualization methods so that they can effectively interpret data and utilize them for business solutions.

The Machine Learning course is designed to provide students with a basic understanding of artificial intelligence technology with hands-on experience in developing ML algorithms associated with speech recognition, computer vision tasks or natural language processing. This course also covers basic topics such as supervised learning algorithms, neural networks and deep learning techniques which enable machines to learn from data without being explicitly programmed for any task.

Our Courses

Full Stack Development Course

Course Outline for Full Stack Development by BlueSpace EdTech

*Module 1: Fundamentals of Web Development

• Overview of the Internet & Web Technology

• Introduction to HTML, CSS, and JavaScript

• Creating Responsive Web Pages with HTML5 and CSS3

• Working with JavaScript Frameworks like jQuery and AJAX

• Client-side Technologies (AngularJS, ReactJS, etc.)

Module 2: Building Web Applications

• Building Dynamic Websites with Server-side Technologies (PHP, Node.js, MySQL etc)

• Developing REST APIs for Accessing Data from Cloud Services

• Using Version Control Systems (Git/GitHub) for Project Management

Module 3: Database Design and Management

• Understanding relational databases and SQL queries.

• Implementing a Database Model using SQL Server or Oracle.

Module 4: Mobile Application Development

• Developing Native Android Apps using Java/Kotlin. • Developing Native iOS Apps using Swift/Objective-C. • Creating Cross-Platform Hybrid Apps with Ionic Framework.

Module 5: Cloud Computing Platforms • Introduction to Cloud Computing Platforms like Amazon Web Services, Microsoft Azure etc. • Setting Up Infrastructure on Cloud Platforms (Virtual Machines, Containers etc). • Deploying Applications on the Cloud Platforms.*

Data Analytics Course

Data Analytics Course at BlueSpace EdTech is a comprehensive and well-structured course designed to help students gain a deeper understanding of the fundamentals of data analytics. It provides a strong foundation in the core concepts and the development of the skills necessary for the application of data analytics in businesses and other organizations. The course covers the entire spectrum of data analytics, from basic statistics to machine learning algorithms, and offers hands-on exercises and activities to help students develop their skills in a practical setting. The course also explores the use of different tools for data visualization, such as Tableau and Power BI. Overall, it is an excellent program for anyone looking to gain a comprehensive understanding of data analytics and its applications in the workplace.

Machine learning and AI

At BlueSpace EdTech, we offer an Advanced Course in Machine Learning and AI. The course is designed to help students deepen their understanding of machine learning and AI principles and to enable them to effectively apply these principles in solving real-world problems.

This course covers topics such as supervised and unsupervised learning, neural networks, deep learning, reinforcement learning and other topics related to artificial intelligence. Additionally, the course has a hands-on component that allows students to apply the concepts they learn in practical scenarios.

The course is divided into theoretical and practical sessions, which are facilitated by our experienced instructors. Students will be exposed to coding challenges using various programming languages such as Python, R, Java and MATLAB. They will also be given an opportunity to work on real-world industry projects involving natural language processing (NLP), image recognition or robotics.

Upon completion of this course, students will have a comprehensive understanding of machine learning and AI disciplines ,along with the ability to use these technologies for practical applications.

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www.bluespaceedtech.in.net

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