G-CREDO offers an ever-growing portfolio of highly sought-after certifications to enable professionals to boost their effort in achieving their career goals. Browse through our Certification Categories below and find the certification that's right for you.
The Certified Data Scientist is a job program that ensures quality foundation in data science to novice and intermediate learners who want to explore the promptly moving data science domain.
The Data Science for Managers course was created with managers and business leaders in focus, to enable them to understand the benefits of big data and integrate data science to their managerial activities.
The Data Science Foundation course captures the key concepts of data science, assuring a strong foundation and gearing up for a career in the industry.
The Certified Data Scientist - Finance programe claims to change the way finance is done by providing financial analysts with the ability to improve data science abilities.
The Certified Data Scientist - HR specialization strengthens expertise of developing strategies and benchmarks for integrating data science models in hr functions.
The Certified Data Scientist - Marketing course covers both theoretical and practical aspects of data science's use in marketing, as well as methodologies for using data science in marketing.
The Certified Machine Learning Expert Course is proposed to facilitate anyone seeking a career in machine learning, be a wizard in the domain and become a machine learning expert.
The Certified Artificial Intelligence Expert Course depicts AI concepts and their industrial applications, allowing students to get an edge in the massive field of AI
The Artificial Intelligence Managers Course illustrates how AI may be used at a company's top levels. Certification bears a significant amount of weight. It can help you advance up the corporate ladder.
The Computer Vision specialism enables participants to develop hands-on experience implementing Computer Vision projects while also having learned on computer vision methodologies and principles.