AI ENGINEER PROGRAM
Microsoft Azure Fundamentals, Microsoft Azure AI Cloud Developer Associate, Microsoft Azure Data Fundamentals, Microsoft Azure Database Administrator Associate, Microsoft Power BI Data Analyst Associate, Microsoft Azure AI Fundamentals, Microsoft Azure AI Apps and Agents Developer Associate
Certificate of Completion
360 Clock Hours
18 Weeks
AI Engineer Program Overview
The objective of AI Engineer program is to teach students the in-depth knowledge needed to transform large amounts of data into actionable decisions. The program and its curriculum focus on how complex inputs — such as vision, language and huge databases — can be used to make decisions or enhance human capabilities. The curriculum includes coursework in certifications that focus on programming, databases, statistics, computational modeling, machine learning and symbolic computation. Artificial intelligence (AI) engineers are responsible for developing, programming and training the complex networks of algorithms that make up AI so that they can function like a human brain. This role requires combined expertise in software development, programming, data science and data engineering. Though this career is related to data engineering, AI engineers are rarely required to write the code that develops scalable data sharing. Instead, artificial intelligence developers locate and pull data from a variety of sources, create, develop and test machine learning models and then utilize application program interface (API) calls or embedded code to build and implement AI applications.
Program Description
This program is designed to provide participants with the essential knowledge and practical applications of ML/AI tools and frameworks needed to transition into a high-demand career in this field. This program is for anyone with a technology background. The core training for this program is defined by the competencies emphasized in attaining the following certifications
These certifications ensure that the holder possesses competencies in developing, maintaining, and managing AI Solutions. AI engineers play an important role in organizations and this program will teach students how to
Perform the following tasks:
- Create and manage the AI development and production infrastructure
- Conduct statistical analysis and interpret the results to guide and optimize the organization’s decision-making process.
- Automate AI infrastructures for the data science team.
- Build AI models from scratch and help product managers and other stakeholders with analysis and implementation.
- Transform machine learning models into APIs that can be integrated with other applications.
- Collaborate across teams to help with AI adoption and best practices.
Industry Certification Exams
Course Outline
FIRST TERM (6 weeks):
Microsoft Azure Fundamentals (AZ-900) – 3 weeks
Microsoft Azure AI Cloud Developer Associate (AI-200) – 3 weeks
SECOND TERM (6 weeks):
Microsoft Azure AI Fundamentals (AI-900) – 3 weeks
Microsoft Azure AI Apps and Agents Developer Associate (AI-103) – 3 weeks
THIRD TERM (6 weeks):
Microsoft Azure Data Fundamentals (DP-900) – 1 week
Microsoft Azure Database Administrator Associate (DP-300) – 3 weeks
Microsoft Power BI Data Analyst Associate (PL-300) – 2 weeks
