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Data Engineering certification
Train in Data Engineering and obtain your "Artificial Intelligence Architect" certificate (title currently being registered with the RNCP).
The "Architect in Artificial Intelligence" certification occupies a unique place in the AI education and training landscape. Unlike generalist certifications in Data Science or AI Engineering, it places particular emphasis on AI solution architecture, integration with existing systems, process automation, and regulatory compliance. This makes it an ideal option for professionals seeking to develop cutting-edge expertise in the design and implementation of enterprise AI systems.
While other degrees and certifications focus solely on AI, Big Data, or systems security, the "Architect in Artificial Intelligence" certification complements them by addressing practical and operational aspects often overlooked. It adds a training dimension that goes beyond theory and concepts to include actual implementation, AI lifecycle management, and compliance with standards such as RGPD and relevant ISO standards.
The certification is also positioned as a direct response to the specific AI needs of the market. With the rapid evolution of technology and the growing adoption of AI in various sectors, there is a growing need for professionals who can design, deploy and manage AI solutions responsibly and compliantly. By focusing on these specialized skills, the "Architect in Artificial Intelligence" certification positions itself as an essential gateway for professionals seeking to position themselves at the forefront of this evolving field.
While other degrees and certifications focus solely on AI, Big Data, or systems security, the "Architect in Artificial Intelligence" certification complements them by addressing practical and operational aspects often overlooked. It adds a training dimension that goes beyond theory and concepts to include actual implementation, AI lifecycle management, and compliance with standards such as RGPD and relevant ISO standards.
The certification is also positioned as a direct response to the specific AI needs of the market. With the rapid evolution of technology and the growing adoption of AI in various sectors, there is a growing need for professionals who can design, deploy and manage AI solutions responsibly and compliantly. By focusing on these specialized skills, the "Architect in Artificial Intelligence" certification positions itself as an essential gateway for professionals seeking to position themselves at the forefront of this evolving field.
The AI Architect is a professional who develops a global vision of AI architecture within an organization. He/she defines best practices for its implementation and ensures its compliance with current regulations. His/her role is essential in translating strategic objectives into feasible technical solutions and ensuring that AI applications are compliant, efficient and capable of generating real value for the company.
He or she can be found mainly in the following positions
He or she can be found mainly in the following positions
- Artificial Intelligence Architect: responsible for the design, implementation and management of AI solutions in an organization, including the design of systems to put AI models into production.
- Data Engineer: this job involves working with large, complex data sets and creating systems to manage them.
- Machine Learning Engineer: in this role, the individual is responsible for the design, development and implementation of machine learning models.
- MLOps Engineer: this role involves working at the intersection of Machine Learning and Operations to create more efficient and repeatable machine learning workflows.
- AI consultant: as a consultant, the individual can help organizations develop and implement their AI strategies.
- Chief Data Officer (CDO): as CDO, the individual is responsible for overall data strategy, overseeing AI projects, ensuring compliance with data regulations, and making strategic decisions about the use of data in the organization.
More rarely, an Artificial Intelligence Architect may hold positions as :
- Data Scientist: more and more, the infrastructure / Data Engineer dimension is included in the Data Scientist job. That's why an Artificial Intelligence Architect could find himself in this position.
- Data Analyst: depending on the size of the company, a Data Analyst may have to deal with more organizational and infrastructure issues. This is a junior position for an Artificial Intelligence Architect.
The "Architect in Artificial Intelligence" certificate is divided into the following 4 blocks. Each of Jedha's training courses validates different blocks.
For these statistics on certification success and professional integration, we take into account our graduating classes from September 2020 to February 2023, with a total of 106 students .
Success rate
The success rate for the "Architect in Artificial Intelligence" certification is calculated on the basis of students registered for the certification:
- 95% pass rate (101 students out of 106 registered).
- 89% certification success rate (94 out of 106 registrants).
Overall insertion rate
The overall job market integration rate for graduates of the "Architect in Artificial Intelligence" certification is 95%.
- We count the number of people declared as Active, Freelance or Employed as being "inserted" in the job market.
- We have removed Students from the numerator and denominator of the rate, as well as "No Information".
Rate of entry into the target profession
Graduates of the "Architect in Artificial Intelligence" certification have an 80% success rate in their chosen profession.
- We take all professions considered in connection with "Artificial Intelligence Architect". This includes all data-related professions that are concerned not only with data, but also with a company's architecture.
- We have removed Students from the numerator and denominator of the rate, as well as "No Information".