Artificial intelligence, alongside its subfields like machine learning and deep learning, is poised to dominate the job market in the forthcoming years. Recognizing this demand, we’ve curated a selection of courses that individuals can enrol in to prepare themselves.
According to the May 2023 report “Future of Jobs” by the World Economic Forum, Artificial Intelligence (AI) and its related fields are expected to be among the most sought-after careers in the coming decades. The report forecasts a net growth of 50 percent in both AI and machine learning (ML).
The increasing importance of machine learning and AI is undeniable. Thus, here are some educational options available for students and professionals to enhance their skills and prepare for future career requirements.
IIM Kozhikode
IIM Kozhikode, an autonomous public business school, presents a course titled “Machine Learning and Artificial Intelligence.” Designed for early-level managers, the program equips participants with the skills to lead end-to-end Machine Learning and AI projects and tackle intricate business challenges. A minimum graduation or diploma (10+2+3) in any discipline, along with a fundamental grasp of mathematics and statistics, is required.
This eight-month program is conducted online, with a course fee of approximately Rs 1,50,000 plus GST. Interested candidates can apply by following these steps:
– Log in to admissions.emeritus.org/users/sign_in
– Create an account and provide necessary details such as name, educational, and professional background.
– Submit the application form for review by the institute.
– Upon shortlisting, candidates can pay the fee online and seek additional financial information from the program advisor.
Google offers a machine learning course that is free during its foundational stages. The program includes over 30 exercises, 25 lessons, and real-world case studies, spanning 15 hours. Regardless of educational background, individuals keen on advancing their careers can enroll and commence the course.
Covering everything from the basics of machine learning to generalization, logistic regression, and data dependencies, the course provides comprehensive knowledge essential for a successful career in machine learning. Here’s how applicants can access the course:
– Interested individuals should visit the website developers.google.com/machine-learning/crash-course.
– Once on the website, they can locate the “Start Course” option.
– Clicking on the option will redirect them to another page.
– From there, candidates can initiate the foundation stage of the course by starting with “Introduction to Machine Learning.”
Udemy
Udemy offers a course tailored for beginners seeking hands-on experience from basic to advanced levels. Divided into 16 lectures across five sections, this course requires candidates to possess knowledge of scripting, programming, and Python. Priced at Rs 1799 and spanning six hours, it is accessible via both mobile phones and TVs.
Participants will delve into topics such as utilizing NumPy for swift mathematical computations in machine learning, employing scikit-learn for data preprocessing, cluster analysis, and anomaly detection, alongside various model selection and feature selection techniques.
To enroll in this skill-building opportunity, students must register on Udemy at http://www.udemy.com/course/step-by-step-guide-to-machine-learning-course. From the homepage, they can opt for the “Buy Now” option to gain access to the lectures.
Harvard University
Harvard University, in collaboration with edX, introduces a course titled “Data Science: Machine Learning.” Interested individuals can access the course for free until June 5, but a fee is required to obtain a certificate of completion. This self-paced machine learning course covers topics such as cross-validation to prevent overtraining, popular machine learning algorithms, building recommendation systems, and the concept and usage of regularization.
Spanning eight weeks, the course is conducted in English with various video transcripts available in languages including Hindi, Français, and Español. To enroll, follow these steps:
– Visit edx.org/learn/machine-learning/harvard-university-data-science-machine-learning and scroll down to find the “Enroll Now” option.
– Upon selection, choose the most convenient time to complete the course.
– After selecting the date, click “Enroll Now” again.
– Register and provide all mandatory details to successfully complete the university form.
IIT Kanpur
IIT Kanpur, India’s leading institute, presents a professional certificate course in AI and Machine Learning. Interested candidates should hold a bachelor’s degree with a minimum average score of 50 percent, possess prior knowledge or experience in programming and mathematics, and ideally have at least two years of formal work experience in the field.
This 11-month course covers topics including ChatGPT, OpenAI, Dall-E, Midjourney, applied data science with Python, and deep learning with Keras and TensorFlow, among others. The course fee is approximately Rs 1,53,400. Here’s how to apply:
– Visit ifacet.iitk.ac.in/professional-certificate-course-in-ai-and-machine-learning/ and select the “Apply Now” option.
– Begin the application process by entering details such as name, phone number, and years of experience.
– Complete the application form accurately.
– Submit the form to complete the application process.
Intel
Intel, a global leader in the manufacture of central processing units and semiconductors, offers free courses on machine learning. These courses are open to candidates from diverse educational backgrounds and professional experiences. The duration of the course spans 13 months.
No application form submission is required to access the course materials. Interested individuals can simply follow the provided link to download all the materials directly from Intel’s website at intel.com/content/www/us/en/developer/topic-technology/artificial-intelligence/training/course-machine-learning.html#gs.7qnvlb. The course covers a wide range of topics, from NumPy, SciPy, and pandas to cost functions, regularization, feature selection, and hyperparameters, providing comprehensive learning through video lectures.
Several alternative platforms provide courses on machine learning ranging from foundational stages to fundamental levels. Students aspiring to pursue careers in machine learning are advised to compare these options carefully before investing their time and resources in any particular course mentioned above.
