This course introduces learners to the practical use of artificial intelligence for generating and improving computer code across multiple disciplines. Designed for students and professionals from any major, it requires no prior programming or AI experience. Learners explore how AI tools support coding tasks through effective prompt design, hands-on experimentation, and guided examples using Python. The course emphasizes real-world applications, including data analysis, basic web development, and research-oriented data visualization. Participants also learn to critically evaluate AI-generated code, identify limitations and errors, and refine outputs for practical use. By the end of the course, learners will be able to responsibly integrate AI-assisted coding into academic, professional, or creative projects, enhancing efficiency, problem-solving skills, and confidence in working with modern AI technologies.
AI Code Generation for Everyone
Empfohlene Erfahrung
Was Sie lernen werden
Use AI tools to generate, modify, and improve code for real-world tasks without prior programming experience.
Apply prompt engineering techniques to guide AI models in producing accurate and useful code.
Evaluate and refine AI-generated code for data analysis, web applications, and visualization projects.
Wichtige Details
Zu Ihrem LinkedIn-Profil hinzufügen
Februar 2026
7 Aufgaben
Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.
In diesem Kurs gibt es 7 Module
Welcome to the course! This topic introduces AI code generation as a transformative approach to software development, where large language models generate code from natural language prompts or contextual cues. Learners examine how AI-assisted coding differs from traditional programming, its historical evolution, practical benefits, limitations, and its growing role in modern development workflows.
Das ist alles enthalten
2 Videos6 Lektüren1 Aufgabe
This topic explores prompt engineering as the skill of translating human intent into precise instructions for large language models. Learners study how prompt clarity, specificity, context, and format shape AI outputs, and practice iterative refinement techniques to reliably generate accurate, useful, and ethical code solutions.
Das ist alles enthalten
1 Video5 Lektüren1 Aufgabe
Vibe coding introduces a creative, conversational style of building software by describing goals, aesthetics, and behavior in everyday language while AI handles technical implementation. Learners explore how vibe coding lowers technical barriers, accelerates prototyping, and empowers non-coders and developers alike to rapidly turn ideas into working applications.
Das ist alles enthalten
1 Video4 Lektüren1 Aufgabe
This hands-on module applies AI tools to generate, interpret, and modify Python programs. Learners work with basic syntax, control structures, and logic, using AI to accelerate development while learning to read, test, and debug generated Python code.
Das ist alles enthalten
2 Videos2 Lektüren1 Aufgabe1 Diskussionsthema
This topic demonstrates how AI can assist with data mining and data visualization tasks. Learners generate code to collect, analyse, and visualize data, while developing skills to assess data quality, interpret results, and refine AI-generated analytical workflows.
Das ist alles enthalten
2 Videos2 Lektüren1 Aufgabe1 Diskussionsthema
This module introduces AI-assisted web development by guiding learners to create a simple personal webpage. Using AI-generated HTML, CSS, and basic interactivity, learners focus on structure, design, and usability while understanding how web components work together.
Das ist alles enthalten
2 Videos2 Lektüren1 Aufgabe1 Diskussionsthema
This topic explores AI-assisted coding for research and simulation tasks. Learners use AI to generate code for simulations, experiments, and visualizations, emphasizing interpretation, and presentation of results in academic and exploratory research contexts.
Das ist alles enthalten
4 Videos4 Lektüren1 Aufgabe2 Diskussionsthemen
Dozent
Warum entscheiden sich Menschen für Coursera für ihre Karriere?
Felipe M.
Jennifer J.
Larry W.
Chaitanya A.
Neue Karrieremöglichkeiten mit Coursera Plus
Unbegrenzter Zugang zu 10,000+ Weltklasse-Kursen, praktischen Projekten und berufsqualifizierenden Zertifikatsprogrammen - alles in Ihrem Abonnement enthalten
Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.
Erwerben Sie einen Abschluss von erstklassigen Universitäten – 100 % online
Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.
Schulen Sie Ihre Mitarbeiter*innen, um sich in der digitalen Wirtschaft zu behaupten.
Häufig gestellte Fragen
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Weitere Fragen
Finanzielle Unterstützung verfügbar,