Techtern FullStack Data Science & Machine Learning Professional Program -Spring2024
Combined class of Data Science and ML Techtern StudentsData Wrangling Academy – Spring 2024
This course covers essential techniques and tools used in the data wrangling process, enabling professionals to handle real-world data challenges and prepare data for advanced analytics and decision-making.Techtern FullStack Data Science Professional Program -S1_Summer2024
The Techtern Program in Project-Based Full Stack Data Science prepares aspiring data scientists for dynamic careers by combining internship opportunities at Prognoz.ai with project-based training at OneCampus. Graduates emerge with a robust skill set, practical experience, and readiness to contribute effectively to data-driven decision-making processes across various industries.Data Visualization Professional Program -SP2024
Join the Python Data Visualization Professional program and master the art of transforming data into compelling visual stories! Course Overview …Cybersecurity Professional Program
Prepare for a career in cybersecurity and defend against evolving cyber threats with our comprehensive Cybersecurity Professional program, including hands-on penetration testing experience!
The Cybersecurity Professional program is designed to equip participants with the skills and knowledge required to protect digital assets, secure networks, and mitigate cyber threats in today's digital landscape. This comprehensive course covers fundamental principles, advanced techniques, and practical applications in cybersecurity, preparing professionals to safeguard organizations against cyberattacks and security breaches, including penetration testing.Machine Learning Security Professional Program
Prepare to secure machine learning and AI systems against emerging threats with our specialized Machine Learning Security Professional program!
The Machine Learning Security Professional program is designed to equip participants with specialized skills and knowledge in securing machine learning (ML) models, data pipelines, and AI systems. This course covers fundamental principles, advanced techniques, and best practices in ML security, enabling professionals to protect AI-driven applications from threats such as adversarial attacks, data poisoning, model inversion, and privacy breaches.
