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Free Certifications to Boost your Resume in 2024

Updated: Aug 22, 2024

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Whether you are about to start a new career, move to higher studies or trying to find a new job in the technology field you must be prepared and stay ahead of others, for this, here are some free certifications that you can complete and highlight in your resume.

Free certifications to boost your resume

  1. Prompt Engineering for Everyone

    About: With our quick engineering course, you may fully realize the promise of AI and learn its language. Learn how to create effective prompts that elicit more accurate and meaningful answers. Discover how to write stimulating prompts that elicit more precise and insightful answers. We give you strategies to enable smooth communication with AI systems, from recognizing contextual clues to reducing biases. Regardless of your background in technology or business, this course will completely change the way you work with AI. Sign up right away to learn how to communicate with AI persuasively in the modern world!

    Link: https://cognitiveclass.ai/courses/prompt-engineering-for-everyone#about-course


  2. Docker Essentials: A Developer Introduction About: Start by creating and executing a Docker container. Next, understand how to manage orchestration issues like high availability, service discovery, and reconciliation by learning how to run containers in production. Link: https://cognitiveclass.ai/courses/docker-essentials


  3. Artificial Intelligence (AI) by Columbia University

    About: Acquire knowledge of the principles of artificial intelligence (AI) and utilize them. Create intelligent agents to handle a variety of real-world issues, including as games, constraint satisfaction, machine learning, reasoning, and search.

    Link: https://www.edx.org/learn/artificial-intelligence/columbia-university-artificial-intelligence-ai


  4. Machine Learning by Columbia University

    About: Today's most intriguing careers in data analysis are built on machine learning. The models and techniques you acquire will be put to use in real-world scenarios, such as determining popular news subjects, creating recommendation engines, evaluating sports teams, and creating

    Link: https://www.edx.org/learn/machine-learning/columbia-university-machine-learning


  5. Introduction to DevOps

    About: One of the talents in the workforce that is predicted to expand the fastest is devops expertise. Acquiring those talents can begin with this course. A brief history of DevOps, the fundamentals of DevOps, and creating a business case for DevOps are all covered in Introduction to DevOps, which examines DevOps as a cultural movement. To fully profit from DevOps, you will acquire new methods of thinking, working, organizing, and measuring.

    Link: https://cognitiveclass.ai/courses/introduction-to-devops#about-course


  6. Build Your Own Chatbot

    About: This course offers a hands-on introduction to chatbots, covering all the necessary knowledge for organizing, creating, and implementing your own customer service chatbot. You won't need to know how to write code to create your own chatbot thanks to IBM Watson Assistant's cognitive computing power. Additionally, you'll discover how to rapidly integrate your chatbot with WordPress websites.

    Link: https://cognitiveclass.ai/courses/chatbot-course


  7. Beginner Apache Hadoop course

    About: This beginner Apache Hadoop course introduces you to Big Data concepts, and teaches you how to perform distributed processing of large data sets with Hadoop.

    Link: https://cognitiveclass.ai/courses/introduction-to-hadoop


  8. Simplifying data pipelines with Apache Kafka

    About: One thing unites many Big Data use cases: Apache Kafka is used somewhere along the way. There's no doubting that the distributed, partitioned, replicated commit log service is a popular technology, whether it's being used for stream processing, messaging, website activity tracking, or other purposes. This course will teach you about the architecture and components of Kafka as well as its practical applications. You will rapidly become up and running, utilizing the Java APIs as well as the command line tools to produce and consume messages. Additionally, you will gain practical experience utilizing Kafka Connect and connecting Kafka to Spark.

    Link: https://cognitiveclass.ai/courses/simplyfingdatapipelines


  9. MIT - Introduction to Algorithms

    About:This course provides an introduction to mathematical modeling of computational issues, as well as common algorithms, algorithmic paradigms, and data structures for solving them. It focuses on the link between algorithms and programming and introduces fundamental performance metrics and analysis approaches for these problems.

    Link: MIT - Introduction to Algorithms


  10. MIT - Advanced Data Structures

    About: Modern computer science relies heavily on data structures. You interact with data structures far more frequently than with algorithms. Furthermore, data structures are necessary building elements for efficient algorithms. This course covers the major findings and current research directions in data structures.

    Link: MIT - Advanced Data Structures


  11. Java Programming: basics for beginners

    About: The main focus of this course is studying the Java programming language and its files. Java is in extremely high demand in the software industry these days. The greatest course for learning the fundamentals of Java files is this one. Aspiring Java developers can always benefit from studying the fundamentals and reviewing themes in the language; if they improve themselves, this will also increase their chances of landing a job. thus I heartily advise them to take this course. Therefore, before registering for this course, you should be familiar with the fundamentals of Java. This course isn't meant for professionals in the field.

    Link: https://www.udemy.com/course/java-files/


  12. Getting Started with GitHub and Creating Branches

    About: GitHub is a prominent online hosting site for repositories, which are copies of a whole project, including revision history. All files in a repository are organized into branches, or independent lines of work. Teams designate one branch as the main branch, which contains the finished, deployable code. Users construct distinct branches to work on new features or alter old code, then merge the changes into the main branch.

    Link: https://cognitiveclass.ai/courses/getting-started-with-github-and-creating-branches


  13.  Introduction to Generative AI

    About: This is an introduction course that explains what Generative AI is, how it works, and how it differs from typical machine learning methods. It also covers Google Tools, which can help you create your own Gen AI apps.

    Link: https://www.cloudskillsboost.google/course_templates/536


  14. Introduction to Large Language Models (LLM)

    About: This is an introduction course that explains what large language models (LLM) are, what use cases they may be used for, and how prompt tuning can be used to improve LLM performance. It also covers Google tools for creating your own Gen AI applications.

    Link: https://www.cloudskillsboost.google/course_templates/539


  15. Introduction to DevOps

    About: DevOps expertise is in high demand! One of the talents in the workforce that is predicted to expand the fastest is devops expertise. Acquiring those talents can begin with this course. A brief history of DevOps, the fundamentals of DevOps, and creating a business case for DevOps are all covered in Introduction to DevOps, which examines DevOps as a cultural movement. To fully profit from DevOps, you will acquire new methods of thinking, working, organizing, and measuring.

    Link: https://cognitiveclass.ai/courses/introduction-to-devops

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