NSQF Level - Level 7
Eligibility - Bachelor’s Degree in Engineering / Technology / Statistics / Mathematics / Computer Science
Course Duration - 12th Months (Minimum 400 hours)
Course Fee - Call us to know exclusive offers - 8077940937
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1. Program Overview: - Provide a brief description of the course, highlighting its focus on training students in the field of AI and data engineering.
- Explain how the course aims to equip students with the necessary skills and knowledge required to design, build, and maintain data pipelines and infrastructure for AI systems.
2. Course Curriculum: - Outline the topics covered in the course, such as data preprocessing, data integration, data storage and retrieval, data quality, and data governance.
- Mention specific programming languages and tools that will be taught, such as Python, SQL, Apache Kafka, Apache Spark, or TensorFlow.
3. Faculty: - Highlight the qualifications and expertise of the faculty members who will be teaching the course.
- Emphasize their experience in AI, data engineering, 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 engineering.
- 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 engineering.
