NEW DELHI: The World Economic Forum in its May 2023 report ‘Future of Jobs’ suggested that Artificial Intelligence (AI) and its branches will be one of the most prioritised careers in the coming decades. The report highlighted that there will be a net growth of 50 per cent in both AI and machine learning (ML).
The growing significance of machine learning and AI cannot be ignored. Understanding the need, here are some options where students and professionals can learn and upskill themselves for future professional needs.
IIM Kozhikode
An autonomous public business school, IIM Kozhikode is offering a course on ‘Machine Learning and Artificial Intelligence’. With more than 350 pre-recorded videos and numerous assignments and quizzes, IIM-K is looking for early-level managers to effectively lead end-to-end Machine Learning, and AI projects and solve complex business problems. A minimum graduation or diploma (10+2+3) in any discipline is necessary along with a basic understanding of mathematics and statistics.
The institute is offering the programme for eight months in an online mode. The fee of the course is approx Rs 1,50,000 and GST will be charged at checkout. The deadline for the course is April 17. Here’s how interested candidates can apply:
Candidates have to log in at — admissions.emeritus.org/users/sign_in
Once the account is created, they have to provide details like name, educational and professional background along with other mandatory details.
After filling the application form is filled, the institute will have the right to review the form.
Once shortlisted, the candidate can pay the fee online and can also reach out to the programme advisor for more information on the finances.
Google
Google is offering a course on machine learning which is free till the foundational stages. With more than 30 exercises, 25 lessons, and real-world case studies, the programme is for 15 hours. Irrespective of educational background, candidates who are interested in upgrading their careers, can register and start the course.
With the basics of machine learning to generalisation, logistic regression, and data dependencies, the course covers all a candidate needs to know for a successful career in machine learning. Here’s how applicants can unlock the course:
Interested applicants have to select the website — developers.google.com/machine-learning/crash-course.
Once selected, search for a start course option.
The link will direct towards another page.
This way candidates can start their foundation stage of the course with ‘Introduction to Machine Learning’.
Udemy
This Udemy course will help beginners to get hands-on from basic to advanced level. The course is divided into 16 lectures divided into five sections. Interested candidates need to have knowledge of scripting, programming and python. With a duration of six hours, the fee of the course is Rs 1799. This programme will be accessible both from mobile phone and TV.
Applicants will learn how to use NumPy, to do fast mathematical calculations in machine learning, use scikit-learn for data-preprocessing, cluster analysis and anomaly detection in machine learning, along with different model selection and feature selection techniques.
Students who want to learn the skill need to register themselves at Udemy— http://www.udemy.com/course/step-by-step-guide-to-machine-learning-course.
On the homepage, select the buy now option to get access to the lectures.
Harvard University
The Ivy League varsity in collaboration with edX has launched a course on ‘Data Science: Machine Learning’. Interested candidates can access the course free till June 5, however they have to pay a sum of money to get a certificate of completion. The self paced machine learning course will help candidates to learn cross-validation to avoid overtraining, popular machine learning algorithms, how to build a recommendation system and what is regularisation and its usage.
With the duration of eight weeks, the course is in English language with various video transcripts including Hindi, Français, Español among others. Interested candidates have to follow below mentioned steps to access the course:
Visit the address provided and scroll down to find enroll now option — edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
Once selected, candidates will have to click on the most suitable time to complete the course.
After selecting the date, again select the enroll now option.
Candidate have to register and then add all the mandatory details for a successful completion of the university form.
IIT Kanpur
India’s premier institute IIT Kanpur is offering a professional certificate course in AI and Machine Learning. Interested candidates must have a bachelor’s degree with an average score of at least 50 per cent, should have prior knowledge or experience in programming and mathematics and is preferable to have two plus years of formal work experience in the same field.
The 11 month course offers knowledge about ChatGPT, OpenAI, Dall-E, Midjourney and other tools, applied data science with Python, deep learning with Keras, and TensorFlow, among others. The fees of the course is approx Rs 1,53,400. Here’s how to apply at the course:
Using the provided link, candidates have to select the ‘apply now’ option — ifacet.iitk.ac.in/professional-certificate-course-in-ai-and-machine-learning/
To start the application, students have to fill in information like name, phone number and years of experience.
An application form will appear on the screen. Students are advised to correctly fill the form.
Submit the form
Intel
One of the world’s largest manufacturers of central processing units and semiconductors, Intel is offering free courses on machine learning. Candidates across educational background and professional experience can access the materials provided by the company. The duration of the course is 13 months.
The course is accessible without submission of any application form. Candidates have to select the link provided and directly download all the materials provided — intel.com/content/www/us/en/developer/topic-technology/artificial-intelligence/training/course-machine-learning.html#gs.7qnvlb
From NumPy, SciPy, and pandas to cost functions, regularisation, feature selection, and hyperparameters, applicants can learn all the skills with video lectures.
There are various other platforms offering courses on machine learning with a foundational stage to fundamentals levels. Students who aspire to make their career in machine learning are encouraged to compare and then invest time and money on the courses listed above.
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