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
Learn how to utilize crowdsourcing to collect diverse and representative datasets, implement effective active learning strategies, and maintain data quality for robust machine learning models.
Through hyperparameter tuning, regularization, and TensorFlow application, this course emphasizes the optimization of machine learning models.
Learners will have the ability to utilize Vertex AI to develop machine learning models and big data pipelines on Google Cloud.
In a nutshell, this concentration helps business professionals get ready for the CDSP exam by teaching them how to put data science knowledge to use in real-world scenarios.
Equip yourself with the necessary knowledge and abilities to excel as an AI Engineer and assist in the resolution of business challenges through the use of sophisticated AI models.