What You will Learn
The Business Analyst Fundamentals course (BUS-101) is designed to equip aspiring business analysts with a deep understanding of how artificial intelligence (AI) can transform business operations, decision-making, and customer engagement. Through hands-on modules, case studies, and a comprehensive capstone project, students will learn to bridge the gap between technical AI solutions and strategic business objectives. Graduates will be prepared to contribute to AI projects effectively, drive AI initiatives within organizations, start their own consultancy, or offer freelance services as AI-informed business analysts.
Job Opportunities
- AI-Focused Business Analyst
- Data-Driven Strategy Consultant
- Consultant for AI strategy and implementation
- Entrepreneur in tech-driven startups
Duration Course
- 12 Weeks
- 100 Hours of Mentorship
- Projects
- 30 Course Videos
Course Content
Business Analyst Fundamentals
- Module 1: Introduction to AI in Business
- Module 2: Understanding AI Technologies
- Module 3: Data Science for Business Analysts
- Module 4: Managing AI Projects
- Module 5: Business Case Development for AI Projects
- Module 6: AI and Customer Insights
- Module 7: Ethical and Legal Considerations
- Module 8: Capstone Project
- Assessments and Assignments
- Conclusion and Next Learning Path
- Practical Workshops and Case Studies
- Strategic Understanding: Gain insights into how AI technologies can be applied to solve business problems and drive innovation.
- Career Advancement: Equip yourself with in-demand skills that blend business acumen with AI knowledge, enhancing your employability and career prospects.
- Entrepreneurial Insight: Learn to identify opportunities for leveraging AI in new business ventures or consultancy services.
- Practical Experience: Acquire hands-on experience through a capstone project that simulates real-world AI business applications.
- Basic understanding of business concepts and principles.
- No prior knowledge of AI or data science is required, but an interest in technology and its business applications is beneficial.
- AI Opportunity Mapping: Identify areas for AI value creation within a business.
- Data Preparation for AI: Cleanse and structure data for AI models.
- AI Project Scoping: Define project requirements and feasibility.
- Stakeholder Communication: Explain AI concepts in business terms.
Successful students can launch startups to:
- AI Consultancy Firm: Offer strategic advice to businesses on AI adoption, implementation strategies, and optimization.
- Customer Insights Platform: Utilize AI technologies to provide deep customer insights and analytics services to marketers and product developers.
- Ethical AI Advisory Service: Specialize in guiding companies through the ethical, legal, and societal implications of AI deployment.
- AI Project Management Solutions: Develop tools or services that help businesses manage their AI projects more effectively, from inception to completion.
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Generative AI
This dynamic course, “Innovating with Generative AI: Project-Based Learning,” offers a deep dive into generative AI technologies, focusing on hands-on project work with large language models (LLMs) like Mistral or Llama. Students will gain a solid foundation in machine learning, explore the intricacies of GANs and VAEs, and apply their knowledge to create AI-driven solutions across various domains, including retail, agriculture, healthcare, manufacturing, energy, sustainable technology, and business innovation. The curriculum emphasizes ethical AI use and culminates in a capstone project where students will tackle real industry challenges, providing a pathway to employment, entrepreneurship, or freelance opportunities in the cutting-edge field of generative AI.
Can You Solve the Project Challenge?
GENERATIVE AI
AI-601
Generative AI technologies, including the latest LLMs
Leadership in Ethical & Responsible AI
ETHAI-601
Ethical AI, governance frameworks, stakeholder engagement
