Meta Front-End Developer Professional Certificate
Learn to create responsive websites using HTML, CSS, JavaScript, and React, utilize the Bootstrap framework, collaborate with GitHub, and prepare for coding interviews with portfolio-ready projects.
Description for Meta Front-End Developer Professional Certificate
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by Meta
Duration: 7 months; approx. 6 hours a week
Schedule: Flexible
Pricing for Meta Front-End Developer Professional Certificate
Use Cases for Meta Front-End Developer Professional Certificate
FAQs for Meta Front-End Developer Professional Certificate
Reviews for Meta Front-End Developer Professional Certificate
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Meta Front-End Developer Professional Certificate
Replicate is a cloud platform simplifying machine learning model execution, offering a wide range of models, scalable API deployment, and usage-based billing to minimize costs.
Acquire practical full stack development skills, knowledge of Cloud Native tools, proficiency in front-end development languages, and build a GitHub portfolio through hands-on tasks and a capstone project.
The course outlines a comprehensive curriculum aimed at equipping learners with technical skills in back-end development, covering various programming systems, portfolio development, and interview preparation.
Utilize TensorFlow.js for browser-based model execution, TensorFlow Lite for mobile deployment, TensorFlow Data Services for optimized data management, and TensorFlow Hub, Serving, and TensorBoard for advanced deployment scenarios.
Provides a hands-on approach to implementing machine learning with JavaScript and TensorFlow.js for a variety of applications.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
Featured Tools
This course offers a concise summary of essential multivariate calculus for machine learning, including practical tools, vector calculations, function approximation, and neural network applications, to build confidence for advanced studies.
Leverage e-Construction technologies and develop machine learning and NLP algorithms to improve construction efficiency and decision-making through AI.
In this course, the main business applications of AI/ML are introduced, with an emphasis on tool selection and ethical behavior.
Learners will gain the fundamentals necessary to implement AI solutions on Microsoft Azure with this course specialization, which will set them up for success with the AI-900 competency.
The curriculum provides students with the ability to employ search techniques and deep learning to resolve intricate AI issues in real-world scenarios.