{"id":97338,"date":"2022-01-10T15:03:05","date_gmt":"2022-01-10T23:03:05","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=97338"},"modified":"2022-01-10T15:03:07","modified_gmt":"2022-01-10T23:03:07","slug":"weclouddata-ai-engineering-devops-engineering-programs-review","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/weclouddata-ai-engineering-devops-engineering-programs-review\/","title":{"rendered":"WeCloudData Introduces New AI and DevOps Engineering Programs"},"content":{"rendered":"\n

The global tech climate is rapidly evolving with the introduction of sophisticated technologies, such as artificial intelligence (AI), robotics, virtual and augmented reality, and blockchain, to mention a few. <\/p>\n\n\n\n

When it comes to the importance of technological advancements and their acceptance by businesses, it’s safe to say that nearly every company is now a technology company. Currently, all organizations use various technological tools to create a website, manage vast amounts of data, and automate procedures. <\/p>\n\n\n\n

As the demand for technological breakthroughs grows, so does the need for skilled personnel. As a result, WeCloudData<\/a> transforms people into top-tier tech employees by providing a high-quality, hands-on learning experience augmented by cutting-edge AI technology.<\/p>\n\n\n\n

Over the years, WeCloudData has trained more than 2,000 students in various tech disciplines. To advance its mission, it\u2019s introducing two new programs: the AI Engineering and DevOps Engineering bootcamps. These courses come with WeCloudData\u2019s unique features<\/a>, including its robust career services.\u00a0<\/p>\n\n\n\n

\n

WeCloudData accelerates its mission of guiding people into diverse tech career paths as it introduces the new AI engineering and DevOps Engineering bootcamps<\/p>\nContact WeCloudData\u2019s Admissions Team today.<\/a>\n<\/div>\n
\n\n\n\n

Reviewing WeCloudData\u2019s New AI Engineering Program<\/h2>\n\n\n\n

More businesses are using artificial intelligence technology than ever before in many aspects of their operations. LinkedIn\u2019s 2021 Emerging Jobs Report<\/a> highlights artificial intelligence as the fastest rising tech field in the US following the digital transformation trend in the post-pandemic workspace.<\/p>\n\n\n\n

AI engineers build and test machine learning models that power AI-based applications. Applying their programming and data engineering skills enables machines to think like the human brain, which is the key driver of automation in business. <\/p>\n\n\n\n

Due to the successes of artificial intelligence and its increasing demand among businesses, the AI engineering field is becoming more popular by the day. Job site Indeed has reported a 344 percent<\/a> rise in the number of job postings for machine learning engineers, while the Future of Jobs predicts<\/a> that AI will create over 12 million new jobs by 2025.<\/p>\n\n\n\n

WeCloudData\u2019s AI Engineering Bootcamp<\/a> transforms people into full-fledged machine learning specialists within six months of rigorous training. It is an advanced-level program designed for data science, data engineering, or software engineering professionals. Those who wish to transition into the machine learning industry or simply want to learn more about AI and automation should also attend this program. <\/p>\n\n\n\n

The AI bootcamp is available in online, part-time, and full-time formats to accommodate students\u2019 varying commitments. The first cohort is scheduled to commence on February 24 and last until September 8, 2022. <\/p>\n\n\n\n

What Will You Learn at WeCloudData\u2019s AI Engineering Program?<\/h3>\n\n\n\n

At WeCloudData\u2019s AI Engineering program, the students will learn to develop, test, and deploy several machine learning models and end-to-end model pipelines. Altogether, the curriculum is divided into two parts, focusing on a unique aspect of machine learning. <\/p>\n\n\n\n

While the first semester teaches deep learning theory, frameworks, computer vision, and natural language processing, the second half focuses on MLOps, time series, and recommender systems. <\/p>\n\n\n\n

Semester One<\/h4>\n\n\n\n

The program starts with a basic introduction to neural networks and deep learning. This aids students in understanding and modeling complex and non-linear algorithms and flowcharts, which are the foundation of artificial intelligence. Students will also learn how to use deep learning tools like Tensorflow 2.0, Keras, Pytorch, and GPU servers.<\/p>\n\n\n\n

As the training advances, students master automated background removal, scene analysis, object detection algorithms, high-resolution segmentation models, and other computer vision techniques. Moreover, they also put those skills to use by working on real-world projects. Students will divide into two teams and compete against each other to construct a reinforcement learning model as quickly as possible.<\/p>\n\n\n\n

The trainees will also work on a capstone project with the help of mentors and teaching assistants to complete the first half of the course.<\/p>\n\n\n\n

Semester Two<\/h4>\n\n\n\n

As the second semester begins, the curriculum dives into the data engineering aspect of machine learning. Students will learn how to scale their models and build scalable data engineering pipelines using Apache Spark, Spark DataFrame, and Spark ML tools. By developing these skills, learners will be able to implement AI in various operational processes.<\/p>\n\n\n\n

Students will also learn how to run AI apps and deploy them on cloud platforms, such as AWS and Azure. They’ll develop CI\/CD pipelines with Jenkins and AWS CodeDeploy and automate and scale ML pipelines with Apache Airflow, Amazon SageMaker, and Kubeflow on Kubernetes.<\/p>\n\n\n\n

Finally, students will complete a capstone project where they will work on a real machine learning scenario from start to finish.<\/p>\n\n\n\n

By the time they complete their training, learners will know how to:<\/p>\n\n\n\n