- This course equips students to tackle custom industry challenges, develop innovative AI projects, or transition research into startups. It spans the full lifecycle of AI development, from conceptualizing solutions to pitching them to stakeholders, focusing on technical proficiency and entrepreneurial acumen.
- Prerequisites: Prior three courses at least with one being Computer Vision or Interaction AI.
- Assessments: Weekly Micro Assessments; Full Assessment and Final Presentation in Week 6.
Week 1 - Identifying and Selecting Projects
Learning OutcomeGuide students to choose suitable projects, define goals, and prepare for execution. .
1.1 Break down project objectives and define ideal outcomes.1.2 Select appropriate algorithms, data sources, and development strategies.
1.3 Identify potential hurdles and create test cases.
Practical Component
Perform a feasibility study and prepare project plans, including scope definition and resource alignment.
Week 2 - Designing and Analyzing Potential Drawbacks
Learning OutcomeIdentify possible algorithmic limitations and strategize solutions to mitigate them.
2.1 Evaluate algorithm uniqueness and explainability.2.2 Assess algorithm performance metrics like speed and accuracy.
2.3 Explore techniques to enhance usability and model reliability.
Practical Component
Test algorithm strategies on problem statements and refine based on initial feedback
Week 3 - Developing and Demonstrating Technology
Learning OutcomeBuild and validate a functional prototype while addressing potential edge cases.
3.1 Effects of disjoint data on AI outcomes.3.2 Identify and resolve any missed test cases or gaps in functionality.
3.3 Discuss integration plans and evaluate solution completeness.
Practical Componenet
Validate technology readiness and refine performance through iterative testing.
Week 4 - Crafting Business Plans and Exploring Use Cases
Learning OutcomeDevelop a business plan aligned with market needs and expand solution applicability.
4.1 Analyze market opportunities and identify competitive advantages.4.2 Explore alternative approaches to problem-solving.
4.3 Strategize enhancements to expand market appeal and solution robustness.
Practical Componenet
Prepare a comprehensive business case, aligning technical capabilities with market demands.
Week 5 - Addressing Roadblocks and Scaling Solutions
Learning OutcomeOvercome potential barriers to market entry and optimize product scalability.
5.1 Discuss the impact of technology on broader markets and identify new opportunities.5.2 Ensure system robustness, including fail-safes and security measures.
5.3 Validate product integration feasibility for target industries.
Practical Component
Refine the prototype, incorporating feedback and preparing it for live demonstrations.
Week 6-Final Presentations and Future Roadmaps
Learning OutcomePresent solutions to stakeholders and outline strategies for scaling and commercial success.
6.1 Conduct mock presentations with iterative improvements based on feedback.6.2 Deliver a final pitch and product demonstration to stakeholders or investors.
6.3 Reflect on project outcomes, strategize next steps, and plan for scaling the venture.
Practical Component
Showcase the developed product and business plan in a professional presentation setting to secure stakeholder interest.