Listed as Free on Udemy when checked on 24 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.
About this course
Artificial intelligence, big data, cloud computing and connected devices are often discussed together, but they solve different problems. This free course introduces each idea before considering how they can interact in work and everyday life.
Parthajeet Sarma uses five lectures to build a nontechnical map of these technologies. The final lecture presents a 2022 view of the metaverse, so it is most useful as a period perspective rather than a current forecast.
| Official course | Basics of New Age Technology: At Work and at Home |
|---|---|
| Created by | Parthajeet Sarma |
| Platform | Udemy |
| Language | English |
| Level | Intermediate — Udemy listing |
| Listed duration | 54 minutes; 5 lectures across 1 sections |
| Certificate | Not included with a new free enrollment |
Skills you’ll gain
- Describe artificial intelligence and machine learning at an introductory level
- Explain volume, velocity and variety as characteristics of big data
- Distinguish remote cloud services from local storage and computing
- Describe the basic idea behind the Internet of Things
- Recognize how AI, data, cloud services and connected devices can support one another
- Evaluate older technology predictions against present evidence
The first four lessons give separate foundations for AI, big data, cloud computing and IoT. This separation helps a beginner avoid treating every digital product as the same kind of technology. Short quizzes listed in the syllabus provide checkpoints after the core topics.
The 23-minute closing lecture connects the topics through the metaverse. Its claims reflect the course’s September 2022 publication context, including expectations formed during and after the Covid-era shift in work. Learners should compare those expectations with current workplace evidence rather than treating them as settled outcomes.
No technical background or paid software is listed. The complete recording runs for 54 minutes, making it an orientation rather than training in model building, data engineering, cloud administration or device programming.
For practice, choose one familiar product and label where data is collected, where computing happens and what decisions may be automated. This is an independent reflection activity, not a task claimed by the source course.
Frequently asked questions
Is this a programming course?
No. The public syllabus presents nontechnical explanations of four technology areas.
Is the metaverse prediction current?
The lesson reflects a 2022 perspective and should be evaluated against newer evidence.
Do I need paid software?
No specialist software is listed for this conceptual course.
Checked on 24 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.
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