Programming Languages
In order to help students become more proficient programmers in a variety of languages, this course presents fundamental programming concepts with a focus on functional programming and design principles.
Description for Programming Languages
Overview of Programming Languages: Acquire foundational programming principles via the languages ML, Racket, and Ruby, while understanding language architecture and the ability to transition between other programming languages.
Focus on Functional Programming: Highlight functional programming methodologies that are crucial for developing reusable, resilient, and sophisticated software, applicable in contemporary programming languages.
Creating Accurate and Appealing Programs: Establish a foundation for comprehending and utilizing language constructs proficiently, emphasizing program design concepts that yield clean, efficient code.
Deep Thinking Beyond Syntax: Develop the capacity for critical analysis of programming languages, emphasizing principles over syntax to improve proficiency in any language.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Washington
Duration: 29 hours (approximately)
Schedule: Flexible
Pricing for Programming Languages
Use Cases for Programming Languages
FAQs for Programming Languages
Reviews for Programming Languages
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Programming Languages
Discover how to use Rust to apply DevOps ideas, automate system chores, and put logging and monitoring in place for effective application deployment and operation.
Gain an in-depth knowledge of fundamental concepts, including probability, vectors, calculus, and algebra, in order to establish a robust mathematical foundation for AI.
Acquire an in-depth knowledge of generative AI, its applications, and its models for the production of a variety of content.
Gain an extensive understanding of the strategies for optimizing chatbot applications, integration with NLP/ML, and advanced ChatGPT prompting.
Develop advanced AI techniques, including prompt engineering and chatbot development, as well as master large language models and their implementation on Google Cloud.
This program offers training and tools in cloud engineering to prepare for the Google Cloud Associate Cloud Engineer certification test, enhancing skills and confidence in cloud computing.
This course offers an introduction to the fundamentals of Python 3, encompassing control structures and basic data structures to assist learners in developing practical programming abilities.
Potential for data-driven decision-making has been realized. Students will acquire the skills to access, manage, analyze, and visualize data to secure a competitive edge in strategic business decision-making.
This beginner's course covers the fundamentals of Python programming, including essential abilities such as functions, loops, and variable utilization.
Featured Tools
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.
A structured guide to the study of business opportunities in the chatbot space, as well as the comprehension, design, and deployment of chatbots using Watson Assistant.
A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.