- Teacher: Admin User
Exc Academy
Available courses
- Teacher: Admin User
React JS and Next js - Advance level
- Teacher: Admin User
This assessment is designed to evaluate candidates for the QA Analyst role through a comprehensive test comprising both technical and soft skill-based questions. The technical section covers Manual Testing, Automation Tools (like Selenium & Appium), API Testing, Programming, CI/CD, and AI-driven testing. The soft skills section assesses candidates’ communication, analytical thinking, collaboration, and problem-solving abilities—key traits for a successful QA professional.
Candidates are expected to attempt all sections honestly and independently to showcase their job readiness.
- Teacher: Admin User
- Teacher: Admin User
This comprehensive course offers a step-by-step journey through Python programming, machine learning, deep learning, and generative AI concepts. Beginning with foundational Python skills and data handling, it progresses to advanced topics like supervised learning, neural networks, natural language processing, and generative AI techniques. Designed for practical learning, the course includes hands-on projects, coding exercises, and real-world applications, equipping learners with the knowledge and tools to build, train, and deploy AI and ML models effectively.
- Teacher: Admin User
This comprehensive course offers a step-by-step journey through Python programming, machine learning, deep learning, and generative AI concepts. Beginning with foundational Python skills and data handling, it progresses to advanced topics like supervised learning, neural networks, natural language processing, and generative AI techniques. Designed for practical learning, the course includes hands-on projects, coding exercises, and real-world applications, equipping learners with the knowledge and tools to build, train, and deploy AI and ML models effectively.
- Teacher: Admin User
Hi team,
Exc Academy facilitated an Email Etiquette Training Program for Exalogic employees. This training was specifically chosen based on feedback from our internal survey and aligns with the needs identified within our teams.
Training Details:
- Duration: 2 days (2.5 hours each day)
- Dates: 19th and 20th December
- Mode: Hybrid (in-person and online participation)
- Trainer: Mansi
- Teacher: Admin User