Learn and grow with hands-on projects, certifications, and expert guidance!
Join our Frontend Development Internship to master core skills like HTML, CSS, JavaScript, and React.js. This program is designed to provide hands-on experience with real-world projects and expert mentorship, ensuring you gain both knowledge and confidence to kickstart your career in web development. Gain a certification of completion to showcase your achievements!
Frontend development is the art of creating the user-facing part of a website or application. It involves translating design concepts into interactive and visually appealing interfaces that users can engage with. The cornerstone technologies for front-end development are HTML, CSS, and JavaScript, each playing a crucial role in building a seamless web experience.
This 3-month live Frontend Development: Mastering HTML, CSS, and JavaScript Internship is perfect for tech enthusiasts, students, and professionals alike who are eager to gain hands-on experience in the data science field. The complete Data Science course covers a wide array of topics, starting with Python programming basics and essential data science libraries like Numpy and Pandas.
Learn data analytics, machine learning algorithms, and AI concepts, ensuring you build a strong foundation. You will also explore specialized areas like deep learning, image processing, and natural language processing (NLP). With 20+ programming tools and libraries, 40+ industry-relevant projects, and live sessions with industry mentors, this Complete Machine Learning & Data Science Program provides a robust and practical learning experience.
Gain hands-on experience by working on real-world projects that help you apply your knowledge in practical scenarios. Here are a few examples of projects you might work on:
1. Eligibility
Applicants must meet the following eligibility criteria to apply for the internship program:
Must be 18 years of age or older.
Should have a relevant academic or professional interest in the chosen field.
Must submit all required documents (e.g., resume…).
2. Duration
The internship will span 8 weeks, during which interns are expected to be available Monday to Friday, from 9:00 AM to 6:00 PM.
3. Conduct
Interns are required to adhere to the company’s code of conduct and policies. Failure to comply may result in immediate termination of the internship.
4. Confidentiality
Interns are expected to maintain the confidentiality of any sensitive information they may have access to during the internship.
5. Non-compensation
This is an unpaid internship. No compensation or remuneration will be provided unless otherwise specified in a separate agreement.
6. Termination
The company reserves the right to terminate the internship at any time with written notice in the event of any misconduct by the intern. Assigned tasks must be completed within the given deadlines. The first missed deadline will result in a warning, the second will result in a warning accompanied by a fine, and the third instance will lead to the termination of the internship.
7. Certification
Upon completing the internship, the intern will receive a certificate of completion.
8. Governing Law
By participating in this internship, you acknowledge that you have read and agree to these terms and conditions
Start Date: 1st January 2025
Time: 10:00 AM - 12:00 PM
Price: $499
ABC
10+ years of experience in Data Science
Start Date: 15th January 2025
Time: 2:00 PM - 4:00 PM
Price: $499
xyz
8+ years of experience in Machine Learning
Test your knowledge with interactive quizzes.
Prepare for interviews with curated question sets.
Ask your coding-related doubts and get answers.
Earn certifications to enhance your resume.
Hands-on projects to improve your skills.
Test your knowledge with interactive quizzes.
Prepare for interviews with curated question sets.
Add your technical blogs and read technical topics.
Earn certifications to enhance your resume.
Hands-on projects to improve your skills.
Why You
It was a wonderful experience. The staff and faculties are very nice and helpful. If you want to learn coding, I highly recommend them!
mariaThe training was excellent with great interaction and practical information. It helped improve my career. Thank you for the valuable experience!
thomasThe learning environment was very welcoming, and the mentors were knowledgeable. I achieved my goals faster than I expected!
jhon