NSQF Level - Level 8
Eligibility - Bachelor’s Degree in Engineering / Technology / Statistics / Mathematics / Computer Science
Course Duration - 12th Months (Minimum 712 hours)
Course Fee - Call us to know exclusive offers - 8077940937
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Instagram -https://www.instagram.com/amulya.shiksha/ Data Architect course for your institution as I am an AI language model and do not have access to information about specific courses or institutions. However, you can consider including the following information when describing the AI - Data Architect course:
1. Program Overview: - Provide a brief description of the course, highlighting its focus on training students in the field of AI and data architecture.
- Explain how the course aims to equip students with the necessary skills and knowledge required to design and implement data architectures for AI systems.
2. Course Curriculum: - Outline the topics covered in the course, such as data modeling, database design, data integration, data governance, and cloud-based architectures.
- Mention any specific technologies or tools that will be taught, such as Apache Hadoop, Apache Spark, or Amazon Web Services (AWS).
3. Faculty: - Highlight the qualifications and expertise of the faculty members who will be teaching the course.
- Emphasize their experience in AI, data architecture, and related fields.
4. Training Methodology: - Describe the teaching methodology used in the course, such as a combination of lectures, hands-on practical sessions, case studies, and projects.
- Explain how students will have access to relevant software tools and platforms used in the industry.
5. Certification: - Explain that upon successful completion of the course, students will receive a certification that validates their skills and knowledge in AI and data architecture.
- Mention any additional certifications or exams that students may be prepared for, such as those offered by professional bodies like Microsoft or AWS.
6. Placement Assistance: - Highlight any placement assistance or career support services provided by your institution to help students secure job opportunities in the field of AI and data architecture.
