Carrier-Based Complete Artificial Intelligence Internship Program. Get Insights into: Python , Machine & Deep Learning concepts with Project Implementation and Assignments. Stay Updated on Latest Industrial Updates.
Learn and utilise the skills to stay ahead in AI Domain. This Internship provides an opportunity to learn and implement cutting-edge projects, and gain exposure to industry-leading tools with assistance from experienced professionals.
Learn and Practice Python | ML | DL | NLP | CNN & Computer Vision
Implement Learned skills to develop LIVE Projects with Codes and Assistance
Gain access to 30+ Records of High Value Content and Instructor Led Weekend LIVE Sessions
Become a Member of a Community of Highly Interactive Members and access to resources and Q & A Sessions
Updated access to Records for 1 / 2 Months
- Learn Anytime , Anywhere
Download Presentations and Project codes to practice while learning and implementation. Lifetime Access
✓ Gain Access to 30 Days of Record
✓ Get a Mentor Assigned
✓ Download Presentations & Practice Codes
✓ Learn at your Flexible Time
✓ Apprehend the concepts
✓ Join the Private Community of Developers
✓ Attend LIVE Q & A Sessions
✓ Interact with the Mentor
✓ Practice the concepts
✓ Implement Skills Learnt
✓ Develop Projects with assistance
✓ Download Codes for Reference
✓ Implement Real-Time Data
✓ Visualise the Concepts
✓ Get Certified
✓ E Certificate of Internship
✓ Project Completion Certificate
✓ Share on social media
✓ Get Job Notifications
✓ Exclusive Videos with detailed explanation
✓ Assignments & Projects
✓ Flexible Time
✓ New Lectures on the current trend
✓ Participation Certificate
✓ 4 LIVE intractive Mastermind Sessions
✓ 90 Days from the date of payment
✓ 4+ Capstone Projects & Codes
✓ 1 Month Internship Certificate
✓ Exclusive Videos with detailed explanation
✓ Assignments & Projects
✓ Flexible Time
✓ New Lectures on the current trend
✓ Participation Certificate
✓ 4 LIVE intractive Mastermind Sessions
✓ 180 Days from the date of payment
✓ 12+ Capstone Projects & Codes
✓ 2 Month Internship Certificate
A data science internship is an opportunity for students or recent graduates to gain practical experience in the field of data science by working alongside professionals in the industry.
The requirements for a data science internship can vary depending on the company offering the position. Generally, intern candidates should have a strong background in mathematics, statistics, programming, and data analysis. Additionally, some companies may require proficiency in specific programming languages or tools.
During a data science internship, you can expect to learn various skills related to data analysis, machine learning, and data visualization. You will also learn how to work with real-world data sets, and how to use data to inform business decisions.
A data science internship offers several benefits, including gaining hands-on experience in the field, building a professional network, and enhancing your resume with relevant experience. Additionally, internships can lead to future job opportunities within the company or industry.
You can find data science internships through various job search websites, such as Indeed or Glassdoor. Additionally, many companies offer internships through their own websites, and college career centers may also have information on available internships.
o prepare for a data science internship interview, you should research the company and familiarize yourself with their products or services. You should also review the job description and be prepared to discuss your relevant skills and experience. Additionally, you may be asked to complete a coding challenge or a technical interview, so it’s essential to brush up on your programming and data analysis skills.
Yes, many courses offer certificates of completion that you can use to demonstrate your skills and knowledge to potential employers or for personal satisfaction. Some courses may also offer industry-recognized certifications.
To make the most of your data science internship, you should take advantage of any opportunities to learn from your colleagues and ask questions. You should also be proactive in seeking out new projects or tasks, and take ownership of your work. Finally, you should network with your colleagues and build relationships that can help you in your future career.
