Top AI Courses Launched in 2022

MachineHack has a bunch of pocket courses covering various topics on machine learning and analytics
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Notwithstanding that these technologies are still new and developing, there is almost no field where artificial intelligence or machine learning has not permeated in some form or another.

Learning about these rising technologies, therefore, becomes an important step to pushing your career forward and making groundbreaking innovations. We have compiled a list of a few courses launched in 2022 that freshers and professionals can pursue to march ahead in AI-ML.

1. MachineHack Pocket Courses

Unlike full-fledged machine learning courses that are time-consuming and resource intensive, MachineHack has a bunch of pocket courses covering various topics on machine learning and analytics helping individuals learn faster. and participate in hackathons, perfecting those skills with in-depth knowledge. 

Click here to check out individual courses on topics like linear regression, sequence modelling, image segmentation.

2. Machine learning specialisation

DeepLearning.AI and Stanford University Online have collaborated to create a beginner-friendly programme for teaching the fundamentals of machine learning and building real-world AI applications. It is a foundational specialisation with three courses taught by Andrew Ng, Aarti Bagul, Eddy Shyu, and Geoff Ladwig. The three-course programme is an updated version of Andrew’s machine learning course launched in 2012 and had over 4.8 million learners. 

The three courses included in the specialisation are — 

  1. Supervised Machine Learning: Regression and Classification
  2. Advanced Learning Algorithms
  3. Unsupervised Learning, Recommenders, Reinforcement Learning

The course offers a broad introduction to modern machine learning using Python and other libraries like NumPy and scikit-learn. It encompasses topics such as building and training neural networks with TensorFlow, clustering and anomaly detection, building recommender systems, and building reinforcement learning models.

To check out the courses on Coursera, click here.

3. IIT Mandi Data Science Course

The Indian Institute of Technology, Mandi, has collaborated with National Skills Development Corporation to launch certificate courses on machine learning and data science starting in November. The courses will be conducted by the faculty members of IIT Mandi online. The programme will include foundational knowledge in data science and also specialise in machine learning with Python to allow learners to explore careers as data scientists, and business and data analysts. The course will last for nine months with certificates issued by IIT Mandi and NSDC.

To find out more about the course, click here.

4. Google AI Research YouTube 

Google AI announced their Google Research YouTube channel in August with focus on subjects like robotics, AI/ML, quantum computing, health and bioscience. The channel is a free resource for information about the subjects and includes three segments:

  1. Meet a Google researcher, where they demonstrate their new innovations and technologies
  2. ResearchBytes focuses on converting Google research publications into byte-sized content for easy understanding
  3. Spotlights discusses new technologies by Google in-depth, focusing on individual innovations at a time

5. IIT Jodhpur’s PGDM in Data Science and Cloud Computing

In collaboration with WileyNXT, IIT Jodhpur launched a post-graduate diploma in cloud computing and data engineering. It is a 12-month intensive course teaching about managing the lifecycle of a data engineering project like big data collection and insight generation using machine learning techniques. The course requires a bachelor’s degree in science or engineering with a minimum of 50% marks. Along with this, the candidate must also be a working professional with a minimum of two years experience in the data science field.

Click here to learn more and apply for the course.

6. IIT Madras-Sony India Finishing School Programme

Pravartak Technologies of IIT Madras collaborated with Sony India Software Centre to launch a free course for pandemic-era kids with a family income less than INR 8 lakh. The course focuses on AI, ML, computer graphics, cybersecurity, and communication skills. Sony will offer employment to 15 top performers of the six-month course and the rest would be eligible to appear for job interviews at the IIT-M placement cell. The free course also offers a stipend to the top scoring candidates of the entrance examination. 

Click here to know more about the course.

7. Samsung Innovation Campus

Samsung India launched their Samsung Innovation Campus to upskill students and young professionals in AI, IoT, Big Data, and coding and prepare them for future opportunities. The first batch will be of 3,000 underprivileged students across India as proposed by Electronics Sector Skills Council of India (ESSCI). During the course, the students will receive mentorship from Samsung researchers and classes from ESSCI-approved educational experts. The AI course will be conducted for 270 hours of theory and 80 hours of project work.

To know more about the course, click here.

8. Practical Deep Learning for Coders has been developing several courses for the past few years, but recently announced their Practical Deep Learning for Coders 2022 course for teaching learners about building deep learning models. The course includes computer vision, NLP, tabular analysis, and collaborative filtering problems. By the end of this course, students will learn how to implement fundamentals of deep learning like gradient descent, stochastic gradient, and complete training loop. The course is taught by Jeremy Howard with nine lessons, each about 90 minutes long. Alumni of previous editions of the course have been working at GoogleBrain, OpenAI, Amazon, Tesla, and Adobe.

Click here to know more about the programme.

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Mohit Pandey
Mohit dives deep into the AI world to bring out information in simple, explainable, and sometimes funny words. He also holds a keen interest in photography, filmmaking, and the gaming industry.

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