Internship period : Four weeks
Starting date : 1st and 15th of each month
Time : The course content will be uploaded between 6:00 p.m. and 7:00 p.m.
Note : If you miss the classes, you can access free recorded videos for the next one week.
Mode : Remote. You can opt to receive your certificate offline (extra charges may apply).
Who can attend :
- All engineering students and students from other courses who are interested in AI and ML are welcome.
- No prerequisites required
Take aways :
- One month internship with stipends for top performers
- Offer letter, internship certificate, course completion certificate, LOR, job opportunities etc
- Career direction, clarity and career planning
Frequently asked questions :
- Can I join my friend?
- Absolutely yes. And you can work in groups.
- When will I get certificate?
- Within 2 to 3 days of your internship completion.
- Once you get enrolled you will be added to the official UnikBrushes internship WhatsApp group.
- Further updates related to internship will be given in WhatsApp groups.
Artificial Intelligence is revolutionizing industries worldwide. Join our AI internship to explore the frontier of technology. Work on projects that leverage AI to solve real-world problems, and gain insights into the future of automation, chatbots, and more. Key learning areas include:
- Natural Language Processing (NLP): Explore language processing for chatbots and text analysis.
- Computer Vision: Gain insights into image recognition, object detection, and video analysis.
- AI Applications: Understand the applications of AI in fields such as healthcare, finance, and more.
- AI Ethics and Responsible AI: Learn about ethical considerations in AI development and responsible AI practices.
- AI Tools and Frameworks: Gain experience with AI development tools and libraries.
Unlock the potential of data with our machine learning internship. Dive into the world of AI and data analysis, working on projects that use machine learning algorithms to derive insights and make predictions. Sharpen your skills in a field with limitless possibilities. Key learning objectives are:
- Introduction to ML: Understand the principles and concepts of machine learning.
- Data Preprocessing: Learn how to clean, transform, and prepare data for analysis.
- Algorithms and Models: Explore popular machine learning algorithms for classification, regression, and clustering.
- Model Evaluation: Understand how to assess and select the right model for different tasks.
- Real-World Projects: Work on practical machine learning projects to gain hands-on experience.
Disclaimer: The content provided in this training outline is for informational purposes only and is subject to change based on specific company and client requirements. The outlined modules and topics serve as a general guide to the training program. Actual content, duration, and emphasis may be adjusted to align with the unique needs and objectives of each company or client. The training program will be tailored to ensure maximum relevance and effectiveness for the intended audience. Participants are encouraged to collaborate with the training organizers to customize the curriculum and achieve desired learning outcomes.