The extent of AI use is widespread within modern and diverse economic and social bubbles, and this innovative trend will continue to swell every passing year. As such, the need for AI specialists is also simultaneously on the rise. The current market demand-and-supply of AI talent, however, is not on equal footing, with the demand surpassing the supply. Thus, a career in AI is extremely ripe for sowing and laden with many opportunities. Not to mention, the need for skilled AI professionals spans nearly every industry, from financial services, healthcare, technology, media, and marketing to government and military, national security, IoT-enabled systems, agriculture, gaming, and retail, to name a few. Also, designing AI systems that can take decisions by themselves is quite rewarding!

Yes, candidates will be succinctly equipped with all the necessary knowledge on AI and ML subjects and topics during the course of the program, and can then apply for various AI and ML positions after completing the courses.

The current market demand-and-supply status for AI talents is not on equal grounds; the demand for competent AI talent far outweighs the supply. This is true for both Nepal and abroad. Choosing a career in AI and ML will bag you a solid, secure future. According to a research outlook by S&P Global, AI-related jobs are cited as the second most sought-after career prospects. What’s more, the outlook for AI careers is also excellent, with the United States Bureau of Labor Statistics predicting a 13% jump in computer-related occupations between 2016 and 2026. The number of companies utilizing AI-enabled services is rapidly growing in Nepal as well, with different sectors, such as banking, finance, and healthcare, inviting AI and ML engineers, data analysts, and scientists to improve integrated systems with AI. Innovative sectors in the country using AI-enabled services include mobile and internet banking, online shopping portals, financial institutions, online and blended education sects, IT sectors, public service sectors, customer service sectors, automation in agriculture and healthcare, among others.

Yes, after successful completion of the program, deserving candidates will get job placement opportunities at Fusemachines.

The Microdegree™ in AI courses can be pursued by students and engineers who already possess basic Computer Science and Mathematics foundations. These prerequisites include basic knowledge of linear algebra, calculus, probability, and statistics. The program also requires programming experience in Python and know-how on the implementation of computer science algorithms and object-oriented programming. Participants should have the ability to run programs and interpret output from a command line terminal or shell. Ideally, students fitting the enrollment criteria generally include 4th year graduating students who check off the specifications. Prior to enrollment, students will be required to undergo an eligibility test to check if they have enough foundational skills to take the course. Additionally, you can also choose to pursue either or both of the courses in the Microdegree™ Specialization program after the completion of the Microdgeree in AI program.

After the completion of the courses in the program, you will have a solid understanding of Machine Learning and Deep Learning algorithms, to select and apply appropriate algorithms, libraries, and frameworks techniques for different AI problems and assess the performance, evaluate and compare different AI models to design and deploy end-to-end pipelines. You will also be able to run experiments to change code details to improve the algorithm.

Yes, students will be required to do certain project works pertaining to each course. Some of the project works include:

Machine Learning

• Price Prediction
• Airbnb Guest Arrival Prediction and
• KNN on Wine dataset among others

Deep Learning

• Sales Prediction
• Image Classification using CNN and
• Machine Translation among others

Computer Vision

• Image Manipulation
• Image editing and Denoising and
• Image Segmentation among others

Natural Language Processing

• Keywords Extraction
• Web of science multiclass classifications and
• Sentence Generation among others