Our Courses
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Splunk Enterprise
Splunk Enterprise is a platform for searching, analyzing, and visualizing machine-generated big data. This course covers key concepts like data ingestion, indexing, querying with SPL (Search Processing Language), creating reports and dashboards, setting up alerts, and using Splunk for security monitoring, providing foundational skills for data analysis.Splunk Enterprise is a powerful platform for searching, monitoring, and analyzing machine-generated big data via a web-style interface. It helps organizations derive valuable insights from logs, metrics, and other machine data to improve operations, security, and performance. This short course covers:Introduction to SplunkSplunk Platform and CapabilitiesSplunk AdministrationUsing SearchesLogs, Events and AlertsSearch Language FundamentalsEvent ClassificationsSplunk FieldsSplunk Apps LibraryCreating AlertsVisualization with DashboardsReport Generation
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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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Data Analysis and Visualization with Microsoft Power BI
Course SynopsisData Analysis and Visualization with Microsoft Power BI is a comprehensive 60-hour training program designed to build proficiency in using Power BI for insightful and interactive data analytics. Power BI is an affordable, user-friendly business intelligence tool that simplifies the data analysis process. It empowers users to connect to various data sources, transform raw data, and create visually compelling dashboards and reports. The course requires no prior coding knowledge—though basic SQL can be helpful for data connections—and is ideal for professionals and students alike seeking practical, hands-on data analysis skills. Required TextbooksBrett Powell, Mastering Microsoft Power BI, Packt.Roger F. Silva, Power BI: Create and Learn, Business Intelligence Clinic. Completion CriteriaA student will be considered to have successfully completed the module upon fulfilling all the following conditions:Minimum 90% attendance in all scheduled classes.An average grade of 80% or higher on all assignments.An average of 60% or higher in formal assessments.Positive evaluation from the tutor confirming the student has grasped key concepts and is ready for the next level. PrerequisitesA basic understanding of mathematics and logical thinking.A willingness to commit at least 10 hours per week to learning, including hands-on practice.Familiarity with Microsoft Excel and basic database concepts is beneficial.Most importantly, a strong desire to learn and apply data analysis skills.
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AI IN CREATIVE CONTENT & VIDEO PRODUCTION
Course SynopsisAI in Creative Content & Video Production – This 20-hour beginner-friendly course introduces participants to AI-powered tools for content creation, video editing, and storytelling. Through a mix of hands-on labs and short lectures, learners will explore tools like RunwayML, Pika Labs, Firefly, and Descript to create AI-generated videos, animations, and scripts. The course focuses on practical application, making it ideal for content creators, marketers, and digital media enthusiasts. Learning MaterialsCurated digital handouts & tutorials on RunwayML, Adobe Firefly, Pika Labs, Descript, and Canva AISupplementary YouTube & case study links provided during sessions Completion Criteria80% class attendanceActive participation in lab sessionsCompletion of a final mini-project using AI tools PrerequisitesBasic computer skillsInterest in content creation or storytellingNo coding or design experience required
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SQL SERVER & DOT NET CORE
this is dot net course.
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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
