NSQF Level - Level 7
Eligibility -  Graduate (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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1. Program Overview:
   - Provide a brief description of the course, highlighting its focus on training students in the field of AI and data science.
   - Explain how the course aims to equip students with the necessary skills and knowledge required to analyze large datasets, develop predictive models, and extract insights from data.

2. Course Curriculum:
   - Outline the topics covered in the course, such as machine learning algorithms, statistical analysis, data visualization, deep learning, natural language processing, and big data analytics.
   - Mention specific programming languages and tools that will be taught, such as Python, R, TensorFlow, PyTorch, SQL, and Tableau.

3. Faculty:
   - Highlight the qualifications and expertise of the faculty members who will be teaching the course.
   - Emphasize their experience in AI, data science, 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 science.
   - 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 science.
   - Mention any industry connections or partnerships that your institution has to facilitate internships or job placements for students.