ARTIFICIAL INTELLIGENCE

Artificial Intelligence (AI) is the development of computer systems to have and surpass the capabilities of human intelligence in terms of visual perception, speech recognition, information acquisition and logical decision-making capabilities.

Our purpose is to help participants strengthen their technical skills in AI, while also supporting their social skills and networking. We try to create an environment where people can discuss and work together productively, and where everyone feels safe to share and learn.

We run community-driven programs that take learners from theory to real-world research and development. Our AI learning journey is structured into three main phases: the Deep Learning Study Group, the Applied AI Study Group, and AI Projects.

 

Deep Learning Study Group

Designed for individuals who have a basic understanding of Python, linear algebra, and statistics, and want to dive deeper into Machine Learning. This 12-week program provides a strong theoretical foundation in Deep Learning.

Applied AI Study Group

Builds upon the knowledge gained in the Deep Learning program, focusing on practical applications such as MLOps, ML in Business, NLP, and Computer Vision. Participants learn through industry-relevant case studies and guided practice using Jupyter Notebooks.

AI Projects

Participants from diverse backgrounds convene to form teams and collaborate on real-world AI projects over a three-month period. inzva provides mentorship, organizes regular meetings, and a showcase to present their work to academics, students, and industry professionals!

Cohorts

Besides our programs, we take initiative to go beyond our vision with collaborations and cohorts. Cohorts are exclusive research gatherings where distinguished academics and promising young researchers come together for a weekend of discussions, collaboration, and knowledge sharing on the latest advances in AI, including Computer Vision, Robotics, Bioinformatics, and other emerging research areas.


Deep Learning Study Group

Designed for individuals who have a basic understanding of Python, linear algebra, and statistics, and want to dive deeper into Machine Learning. This 12-week program provides a strong theoretical foundation in Deep Learning.

 
 

Applied AI Study Group

Builds upon the knowledge gained in the Deep Learning program, focusing on practical applications such as MLOps, ML in Business, NLP, and Computer Vision. Participants learn through industry-relevant case studies and guided practice using Jupyter Notebooks.

 
 

AI Projects

Participants from diverse backgrounds convene to form teams and collaborate on real-world AI projects over a three-month period. inzva provides mentorship, organizes regular meetings, and a showcase to present their work to academics, students, and industry professionals!

 
 

Cohorts

Besides our programs, we take initiative to go beyond our vision with collaborations and cohorts. Cohorts are exclusive research gatherings where distinguished academics and promising young researchers come together for a weekend of discussions, collaboration, and knowledge sharing on the latest advances in AI, including Computer Vision, Robotics, Bioinformatics, and other emerging research areas.

 
 
 
 
 

VIDEOS

Deep Learning Study Group Week 1.2 / What is Neural Networks?

Applied AI #7 Week1.1 - Machine Learning in Business

AI Projects #8 for Social Good Showcase Highlights


  Join your forces for social good and technical depth