Our Courses

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ANDROID PROGRAMMING

Course SynopsisAndroid 1 course is aimed at beginners looking to grasp meaningful coding and reading skills in Android development. It focuses on translating problem descriptions into Android applications or libraries. This fundamental course is essential for those without prior programming experience, aspiring to become professional Android engineers. Android - Level 2 course is designed for students with prior basic programming knowledge in languages like Java, Obj-C, PHP, C, C++, etc., who want to transition to Android development. It's suitable for high school and university students, existing VB.NET developers shifting to Android, media industry professionals, and freelance PHP developers seeking to enhance their skills in Android. Required Textbooks Dawn Griffiths and David Griffiths, “Head First Android Development”, O’Reilly.Barry Burd, “Java Development for Android Developers for Dummies”, Wiley. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module: Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesBasic knowledge of programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (varying from student-to-student) per week outside of the training class to read/write codes in ANDROID (self-study and practice).There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing her PHD in Genetic Engineering is welcome to take this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.

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APPLIED DATA ANALYSIS (SPSS DATA ANALYSIS)

Course SynopsisThe course is designed for both beginner and advanced researchers who wish to learn about SPSS Data Analysis for the purpose of research. Any undergraduate and postgraduate level students/professionals from any background who want to study the practical approach to data analysis is welcome to take the course. There is no prior educational level needed for this course; nonetheless, you should have strong convictions about what Data Analysis is and what you intend to achieve from it. Required TextbooksAndy Field, “Discovering Statistics Using IBM SPSS Statistics” Sage Texts.Darren George and Paul Mallery, “IBM SPSS Statistics 25 Step by Step”, Routledge.N.L. Leech, K.C. Barrett and G.A. Morgan, “IBM SPSS for Intermediate Statistics”, Routledge. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesThere is no prior educational level requirement for this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.

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Applied Ruby Programming with Rails

This course is designed for individuals interested in web development and aims to provide a solid foundation in using Ruby on Rails to build web applications. Students will learn the fundamentals of Ruby, the Rails framework, and web development best practices.

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Automobile Mechanical and Electrical Technology Training

The training in Automobile Mechanical and Electrical Technology equips students with skills in engine mechanics, vehicle electrical systems, diagnostics, and repair. The program covers surface topics like engine performance, electrical wiring, automotive electronics, and troubleshooting in both mechanical and electrical aspects of automotive technology.

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AWS CLOUD PRACTITIONER

Course SynopsisThis course imparts the essential skills and knowledge for aspiring AWS Cloud Practitioners. Instructors will demonstrate tasks, enabling trainees to actively engage and practice using standard tools and materials. The curriculum covers AWS Cloud's global infrastructure, core services, architecture principles, security, compliance, and billing, including lab exercises for practical application of each service. Required TextbooksBen Piper and David Clinton, “AWS Certified Cloud Practitioner Study Guide”, Sybex. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing their PHD in Genetic Engineering is welcome to take this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.

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BASIC PHOTOGRAPHY

This course is best suited for beginners who want to explore photography as a hobby or profession, high school and university students interested in enhancing their creative skills, and individuals who wish to improve their photo-taking abilities for personal or professional use.

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Big Data Programming and Hadoop Analysis

Course SynopsisBig Data Programming and Hadoop Analytics introduces learners to the core concepts of Big Data, Hadoop ecosystem, and distributed data processing. The course focuses on hands-on experience with HDFS, YARN, MapReduce, Hive, Pig, and Apache Spark. Students will learn to build scalable data pipelines, manage Hadoop clusters, perform large-scale data analytics, and develop end-to-end Big Data solutions using real-world datasets in a hybrid learning environment.Required TextbooksTom White, Hadoop: The Definitive Guide, O’Reilly Media.Holden Karau et al., Learning Spark: Lightning-Fast Big Data Analytics, O’Reilly Media.Recommended Resources:Hadoop and Spark official documentation, GitHub lab repositories, cloud platform free-tier resources, and selected research papers.Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes heldHas received an average grade of 80% on all assignmentsHas received an average of 60% in assessmentsThe tutor believes the student has grasped all core concepts and is ready to proceed to the next modulePrerequisitesBasic understanding of the Linux command lineFundamental programming knowledge (Python or Java preferred)Familiarity with SQL conceptsBasic understanding of data structures

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