Coursera! Want To Upskill And Earn Thousands? These 4 Coursera Courses Are Truly For You

Founded in 2012 by Andrew Ng and Daphne Koller, Coursera is an American Multinational Corporation that offers online courses, degrees, and certifications in a variety of disciplines in collaboration with world-class universities and organizations. Coursera Course is an initiative by two of the computer science professors at Stanford University that has emerged as the world’s largest Massive Open Online Course (MOOC) provider to students and professionals alike. While Coursera has so much to offer to mid-career professionals, it also has courses that are specifically designed to cater to the needs of beginners.

At a time when traditional jobs are being increasingly replaced by advanced technology, one needs to keep pace with the changing times. Upskilling oneself with adequate knowledge of AI and marketing can prove to be a game changer, as these are emerging as the most sought-after skills in the present century.

Therefore, we at UnreadWhy bring you four such Coursera courses that can upskill you and help you earn handsomely:

• Generative AI with Large Language Models
• DeepLearning.AI TensorFlow Developer
• Meta Marketing Analytics
• IBM Data Analytics

Generative AI with Large Language Models

This is a self-paced course offered by Amazon Web Service (AWS) that has already enrolled 301,839. Why would you want to be left out? However, this is not for beginners, you should have some experience coding in Python to make the most out of it. It enables you to gain foundational knowledge, practical skills, and a functional understanding of how generative AI works and helps you to dive into the latest research on Gen AI that gives you an understanding of how companies are creating value with cutting-edge technology. Available in 21 languages, it offers a seamless learning experience to already 301,839 enrolled users.

The 4.8-rated course that takes only 16 hours to complete provides you with instruction from expert AWS AI practitioners who actively build and deploy AI in business use cases today. Python Programming, Machine Learning, Large Language Models, LLMs and Generative AI are the skills that you will master once you enroll in it. Besides, learning these incredibly valuable skills which are structured to meet the needs of changing times, just complete three assignments to earn a verified certificate.

Wondering where and how to enroll? Click the link to get yourself job-ready just within a few hours.

DeepLearning.AI TensorFlow Developer

With the AI boom, don’t you think learning to build AI apps with TensorFlow is an enticing opportunity?  Then, this is the course you’re actually looking for. The 4.7-rated course is targeted at intermediate-level learners who already have experience in Python coding. Prior machine learning or deep learning knowledge is an added advantage but not mandatory. The four-series course that extends just for two months enables learners to build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis. It provides hands-on experience with real-world image data and helps learners explore strategies to prevent overfitting, including augmentation and dropout.

TensorFlow is an end-to-end open-source machine learning platform that trains a neural network for computer vision applications and builds natural language processing systems. This is exactly what you will learn from the course besides the application of RNNs, GRUs, and LSTMs. Besides, who does not want a verified certificate to boast of one’s skills in their resume? You get that, too.

Check out the link for enrolling now.

Meta Marketing Analytics

Wait, before you think there’s nothing for beginners, we want to prove you wrong. This is exactly for beginners like you. The 4.8/5 rated Coursera course offered by Meta is a series of 8 courses that impart critical training in basic marketing principles and how data informs marketing decisions. Application of the OSEMN data analysis framework to approach common analytics questions is another key learning from this course. Besides, this course also trains users in essential tools like spreadsheets, SQL, and Python so that they can collect, connect, and analyse relevant data using common statistical methods and segment audiences, evaluate campaign results, optimize the marketing mix, and evaluate sales funnels.

Statistics for Marketing, Performance Marketing, Data Analysis, Advertising Effectiveness Evaluation, Marketing Mix Optimization, and Generative AI in Marketing Analytics are some of the skills that you can gain from the self-paced course extending up to 7 months.

It will train you to collect, sort, evaluate, and visualize marketing data, besides summarizing and analysing data using marketing analytics methods. It will equip the learners with basic design experiments and enable them to test hypotheses for evaluation of advertising effectiveness. Besides, it will train them adequately about the working of the Meta Ads Manager and thereby teach and optimise ad performance accordingly.

It not only offers the much-needed skills to make you job-ready just within seven months but, on successful completion provides you with a verified certificate from Meta. Now, it is no secret that showcasing a Meta certification on your resume will definitely increase your chance of being shortlisted by prospective recruiters.

Course Link can be found here.

 IBM Data Analytics

The 4.7-rated Coursera course comprises a series of 11 courses and has already enrolled 299,697 learners. You can be the next. Within a span of five months, see yourself transformed into a master in the field! You will not only master the most up-to-date practical skills and tools that data analysts use in their daily roles but also learn to visualize data and present its findings through the use of various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics & Tableau.

 Not just these, but you will be able to develop a working knowledge of Python language for analysing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services besides gaining technical experience through hands-on labs and projects.

As if these skills were not enough, you will be rewarded with a verified certificate from IBM on successful completion. Available in 24 languages, the linguistic barrier can no longer deter you from getting the most out of it.

Now if you have already got all the necessary information, then what is holding you back? Join now.

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