Cintel's NextGenAI Event Completed! — Arcade Intelligence —

About

About


  • NextGen-Ai is excited to host a AI/ML event, where you can start your AI journey by mastering Python basics,covering everything from variables to functions. This solid foundation will prepare you for AI and Machine learnin.
  • The bootcamp progressess into regression techniques, classification problems, and deep learning with CNNs and YOLO v5. You'll learn model evaluation, algorithm implementation, and object detection skills for real-world AI application.
  • For further queries: 7208416190, 9940705356

Events tracks

The Real Excitement begins...


Python foundation

Master python basics and dive into the world of AI

Regression & classification

Learn predictive modeling, data splitting, and ethical AI practices.

Deep Learning

Explore CNNs and Yolo v5 for advanced AI capabilities.

Intereactive Learning

benefit from hands-on sessions and self-study resources.

Assessment Categories

Assessing Competency Across Key Learning Domains


Comprehensive Python Mastery

Evaluate students understanding of python basics, including variables and functions, to ensure a strong foundation.

Model Evaluation Proficiency

Assess the ability to apply regression techniques, data splitting and manage biass-variance.

Algo. Application

Measure competence in addressing classification challenges, implementing algorithms like SVM.

Deep Learing

Evaluate students' grasp of CNNs, tensorflow for model building, and data augmentation techniques in the context of obj. Detection.

Presentation

The clarity and effectiveness of the final presentation.

What shall you expect?

Happier life


  • Proficiency in AI Fundamentals: Students can expect to leave with a strong foundation in Python and a comprehensive understanding of key AI concepts, enabling them to confidently navigate the world of artificial intelligence and machine learning.
  • Advanced Modeling Skills: Attendees will develop the ability to create and assess predictive models, adeptly handle data, and strike a balance between bias and variance in AI model construction.
  • Algorithm Implementation: After the bootcamp, students will be equipped to tackle classification challenges using algorithms like SVM, supported by practical experience and essential evaluation metric comprehension.
  • Deep Learning Proficiency: Participants will exit the program with deep learning expertise, proficient in constructing CNN models using TensorFlow, understanding data preprocessing, and achieving mastery in object detection with YOLO V5. This prepares them for impactful AI projects in various domains.
  • Industry-Relevant Skills: This bootcamp focuses on imparting skills highly relevant to the current AI job market, enhancing participants' employability and career advancement prospects.
  • Ethical AI Practices: Graduates will leave with a strong understanding of the ethical considerations in AI, ensuring they approach projects with a keen awareness of potential biases and ethical implications, aligning with responsible AI development principles.

Registration Closed


Event Completed!

Thank you all for attending!