Advanced Certification in Business Analytics & Generative AI

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Course Structure

Total Duration: 4 Months Intense Training
Mode: Online
Eligibility: Graduates and working professionals
Certification: Joint certification from KAE Education and IBM

This program is designed to provide a strong foundation in Business Analytics and Generative AI. The curriculum is structured to include conceptual understanding, hands-on learning, case studies, and real-world projects.

Program Overview

The Advanced Certification in Business Analytics & Generative AI is a 4-month intensive training program designed to equip learners with cutting-edge analytical and AI-driven decision-making skills. This program blends Business Analytics, Data Science, and Generative AI to help professionals solve complex business challenges using data-driven approaches.

The training is highly practical, incorporating real-world case studies, hands-on projects, and live business problem-solving. After completing the core training, candidates undergo 1 month of placement support, which includes soft skills training, mock interviews, resume building, and placement drives with industry-leading companies.

Key Learning Outcomes

• Master business analytics tools such as Excel, SQL, Power BI, and Tableau

• Develop expertise in Python, predictive modeling, and machine learning

• Learn Generative AI applications with OpenAI, GPT models, and automation tools

• Work on real-world business cases across finance, healthcare, retail, and marketing

• Gain industry exposure through capstone projects and expert-led sessions

• Get placement support, including mock interviews, resume building, and job assistance

Who Should Enroll?

• Business professionals looking to enhance data-driven decision-making skills

• Aspiring data analysts & AI professionals seeking hands-on experience

• MBA/Engineering graduates looking to break into analytics and AI roles

• Entrepreneurs & consultants aiming to leverage AI for business automation

Upon completion, participants will be job-ready for roles such as Business Analyst, Data Analyst, AI Consultant, and Generative AI Specialist.

Frequently Asked Questions (FAQs)

1. Who is this program for?

This program is ideal for business professionals, data analysts, AI enthusiasts, MBA/engineering graduates, and entrepreneurs looking to enhance their skills in business analytics and Generative AI. It is suitable for both beginners and experienced professionals seeking career advancement.

2. What are the prerequisites for enrolling in this program?

No prior experience in analytics or AI is required. However, basic knowledge of mathematics, statistics, and logical thinking will be beneficial. The program starts with foundational concepts and gradually moves to advanced topics.

3. What tools and technologies will I learn?

You will gain hands-on experience with:

• Business Analytics Tools: Excel, SQL, Power BI, Tableau

• Programming & Data Science: Python, NumPy, Pandas, Scikit-learn

• AI & Generative AI: OpenAI’s GPT models, LLMs, AI automation tools

4. Is this program completely online?

Yes, the program is 100% online, with live instructor-led sessions, access of class recordings, assignments, and hands-on projects.

5. Will I get placement support after completing the course?

Yes. After the 4-month training, you will undergo 100% Placement Assistance & Guaranteed Internship, which includes:

• Soft skills training and interview preparation

• Mock interviews with industry experts

• Resume and LinkedIn profile building

• Placement drives with hiring companies

6. What kind of certification will I receive?

Upon successful completion, you will receive a joint certification from KAE Education and IBM, which is widely recognized Globally.

7. What types of jobs can I apply for after completing this program?

Graduates of this program can apply for roles such as:

• Business Analyst

• Data Analyst

• AI & Automation Consultant

• Generative AI Specialist

• Machine Learning Associate

8. How much time do I need to dedicate to this program each week?

This is a part-time program, and you are expected to spend 8-10 hours per week, including lectures, assignments, and projects.

9. Will I work on real-world projects?

Yes, the program includes multiple hands-on projects and a capstone project where you will solve real-world business problems using data analytics and AI techniques.

10. What is the course fee and payment options?

The course fee details and available payment plans can be provided upon request. We offer installment-based payment options and occasional discounts.

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