Programming for Everybody (Getting Started with Python)
This beginner's course covers the fundamentals of Python programming, including essential abilities such as functions, loops, and variable utilization.
python syntax and semantics,basic programming language,computer programming,python programming,computer science
Description for Programming for Everybody (Getting Started with Python)
Installation of Python and Initial Program: Acquire knowledge about installing Python and composing a preliminary program to obtain practical expertise in coding.
Fundamental Principles of Python: Comprehend the principles of Python programming, encompassing grammar, structure, and foundational language concepts.
Manipulating Variables: Master the utilization of variables for the storage, retrieval, and manipulation of data, a fundamental principle in programming.
Programming Tools, Functions and Iterations: Acquire proficiency in fundamental programming techniques, including functions for reusability and loops for iteration.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 24
Offered by: On Coursera provided by University of Michigan
Duration: 18 hours (approximately)
Schedule: Flexible
Pricing for Programming for Everybody (Getting Started with Python)
Use Cases for Programming for Everybody (Getting Started with Python)
FAQs for Programming for Everybody (Getting Started with Python)
Reviews for Programming for Everybody (Getting Started with Python)
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Programming for Everybody (Getting Started with Python)
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.
Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.
Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.
Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.
Featured Tools
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.
Explore the transformative impact of generative AI on businesses and careers, and its potential to enhance productivity across various sectors.
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.
Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.
Compare & Review AI Tool Directory AI Course Marketplace
