1 Identify disruptive Fintech business models impacting traditional finance.

2 Understand regional and local Fintech regulations, including bodies and sandboxes.

3 Gain insights into challenges and opportunities for startups in Saudi Arabia.

4 Examine Saudi BNPL and Crypto startups, analyzing their business models and regulatory requirements.

5 Case Study: BNPL

6 Case Study: Crypto

7 Guest speaker: Gain insights into challenges and opportunities for startups in Saudi Arabia.

1 Understand the data-point lifecycle, categorizing different types for analytics and machine learning.

2 Acquire knowledge of roles and responsibilities in the data domain, matching expertise with specific roles.

3 Differentiate between technologies and cloud architectures, assessing options based on use case pros and cons.

1 Evaluate technical stack options for a project, considering pros and cons to determine the most suitable technology.

2 Differentiate applications of analytics in finance, identifying common data tools used in the financial sector.

3 Recognize dataset examination by applying field-specific expertise and analytics principles to extract valuable information and create customer profiles.

4 Case Study: Credit Scoring

1 Understand the regulations and future trends in the Fintech sector.

2 Learn to identify and evaluate opportunities in the local market.

3 Learn about SAMA's and CMA’s regulatory sandbox, how the program works, and how to benefit from its framework.

4 Learn about how to apply and pass the evaluation process.

5 Learn about how successfully case studies operating in the sandbox

1 Understand the technical validation percentage needed for acceptance in SAMA and CMA’s Sandbox program.

2 Learn tips and tricks to validate technical solution with low to no investment.

3 Technical validation sprint within SAMA and CMA Sandbox before acceptance through existing approved SAMA and CMA Sandbox startups

4 Learn about how to present the learnings from the validation to the selection committee

1 Grasp Agile methodologies' definition and principles, recognizing their benefits and distinguishing the Agile mindset from traditional project management.

2 Understand the unique characteristics of development cycles, identifying advantages and disadvantages of each type and distinguishing between them effectively.

3 Learn to create user stories, conduct daily stand-ups, and retrospectives, applying Agile methodologies in daily work.

4 Comprehend problem-solving using Agile methodologies, applying Agile practices to real-world scenarios and collaborating effectively in a team.

5 Case study: AI in Finance

1 Introduce Artificial Intelligence, Data Science, and current Machine Learning developments, showcasing how AI empowers financial organizations and clarifying associated terms and concepts.

2 Recognize the significance of AI in the Financial Industry, leveraging current AI and data technologies to address challenges within the financial sector.

1 Explore ML model categories, applications, and fundamental concepts in finance to understand how these models address specific problems.

2 Guest speaker: Grasp the risks, limitations, and opportunities associated with adopting AI for enhanced utilization in the financial industry.

3 Acknowledge the technical and operational requirements for implementing AI in organizations, facilitating its effective use in jobs or startups.

1 Comprehend the concepts of process automation for more effective utilization in the financial industry.

2 Recognize the risks, limitations, and opportunities associated with adopting process automation for enhanced utilization in the financial sector

1 Gain insights from experts on emerging fintech technologies, exploring and discussing the latest trends and advancements shaping the industry.

2 Recognize the concept of process automation, understanding how it can facilitate growth for financial organizations.

3 Analyze operational costs and risks in finance, learning how process automation can mitigate challenges in financial organizations.

1 Grasp the fundamental principles of design thinking, acquiring foundational knowledge for ideation.

2 Recognize the significance of empathy in the design thinking process, emphasizing the customer-centric approach to identify pain points and understand Jobs To Be Done (JTDs).

3 Break down the concept of customer persona, applying it to identify target customer personas.

4 Utilize the value map of the value proposition canvas to design a solution concept, integrating AI applications to address customer needs and pains.

5 Apply feedback from trainers and peers to refine and enhance presentation skills, preparing for audience presentations.

1 Introduction to data visualizations and popular Business Intelligence tools, understanding the benefits and basic features of Power BI and Tableau.

2 Guided walkthrough of Power BI workflow, covering loading a table into the Query Editor, basic cleaning steps, and transitioning to the Data Model.

3 Practical application of turning clean, structured data models into visualizations, gaining hands-on experience in visualizing data.

4 Short workshop focusing on creating dashboards in Power BI, enhancing skills in presenting and interpreting data insights.

1 Gain proficiency in importing data, navigating the interface, and creating diverse data visualizations in Tableau, including graphs, calculations, dashboards, and stories. Understand aggregation types, data types, and distinctions between worksheet.

2 Utilize Tableau to address business questions from provided datasets, employing summary statistics, aggregation, table calculations, and calculated fields to extract concealed insights within the data.

3 Construct dashboards in Tableau, applying filters and advanced filters to multiple worksheets. Engage in parameter exercises and implement visual analytics best practices for effective data presentation.

4 Case study: Portfolio returns

1 Apply fundamental statistical concepts to analyze data, encompassing the calculation of descriptive statistics (median, standard deviation, etc.), outlier detection, and fitting a sample to a common distribution.

2 Utilize these concepts to analyze a synthetic dataset containing various hedge funds' portfolio returns. Participants will employ the covered metrics to discern differences in return patterns and recommend a hedge fund's portfolio based on expected .

3 Create effective data visualizations and charts that communicate statistical insights to a non-technical audience, leveraging the inherent properties of the data.

4 Case study: Data Visualization.

1 Identify and compute essential business metrics, using core Key Performance Indicators (KPIs) to assess the business conditions effectively.

2 Evaluate the reliability and representativeness of analytical insights, considering the assumptions and limitations of the models used. Recognize common errors in data analysis and communication.

3 Analyze a synthetic dataset featuring a startup's sales, marketing, and financial data. Calculate relevant metrics, visualize the results, and generate insights. Develop a comprehensive report summarizing the calculated metrics, explaining visualise

1 Apply session learnings to create a validation template, establishing a standardized process for testing and validating ideas within the design process. Ensure thorough testing and evaluation of all potential ideas before progressing.

2 Demonstrate effective and confident presentation of exercise outcomes to an audience. Incorporate constructive feedback from trainers and peers to enhance presentation skills.

3 Participants will pitch their ideas, recruiting others to join or joining existing ideas to form teams of 3-5 participants.

4 Guest speaker: Hear from experts to understand the regulatory environment of Fintechs in Saudi from a regulator perspective.

1 Grasp major technology trends in Fintech, understanding their industry impact and influence on business models. Stay updated on the latest developments to uncover new opportunities.

2 Explore real regional and international examples of tech applications in Fintech, gaining practical insights into their real-world applications. Understand successful Fintech business models through these examples.

3 Examine further real regional and international instances of tech applications in Fintech to apply learned lessons to personal Fintech projects and initiatives.

4 Fintech Case Study: Identity and Privacy technologies ( IDnow)

1 Examine how a prosperous Fintech company utilizes technology to generate value for customers and stakeholders. Apply best practices to design and implement your own Fintech solutions.

2 Acquire an understanding of navigating the regulatory environment for Fintechs in Saudi Arabia as a founder.

3 Evaluate the business model and technology application of a successful Fintech company. Identify key factors contributing to their competitive advantage in the fintech market.

4 Case Study: Insurtech (Lemonade)

5 Guest speaker: Understand how to navigate the regulatory environment of Fintechs in Saudi as a founder

1 Explore the concept and significance of digital transformation, analyzing potential impacts on the financial industry.

2 Formulate a vision and strategy for digital transformation, identifying areas for innovation and selecting suitable technologies.

1 Recognize the role of innovation in digital transformation, identifying various aspects of innovation capabilities crucial for the process.

2 Analyze human challenges inherent in digital transformation, strategizing effective approaches to address these challenges.

3 Create a Personal Plan for Digital Transformation aligned with professional goals, incorporating key concepts and skills acquired during the program.

1 Understand the vital skills and competencies required for launching and growing a successful Fintech startup in Saudi Arabia, identifying and developing the necessary capabilities for local market success.

2 Analyze the startup journey and explore various financing options for a Fintech venture, making strategic decisions regarding funding and business scaling.

3 Identify key steps and best practices for preparing a pitch deck and delivering a presentation to a VC for a Fintech startup.

4 Gain insights from an experienced Fintech venture investor about key fundraising principles, the fundraising process, and potential pitfalls in the domain, learning how to navigate them successfully.

5 Learn from an expert Fintech founder about the entrepreneurial journey, the challenges and opportunities of building and scaling a Fintech business, and best practices and lessons learned from their experiences.

6 Guest speaker: Learn from an experienced Fintech venture investor about the key principles, fundraising process and pitfalls of fundraising in this domain and how to navigate them successfully.

7 Guest speaker: Learn from an expert Fintech founder about the entrepreneurial journey, the challenges and opportunities of building and scaling a Fintech business, and the best practices and lessons learned from their experience

1 Problem description: Define the problem your product is solving and how?

2 Define the customer persona based on your design thinking learnings.

3 Validation checklist and questions (customer

4 Each team presents their short pitch.

5 The daily challenge winner is awarded.

1 Create a list of people to validate their idea with (must be matching the customer person, not less than 3 individuals)

2 Conduct research before interviewing regulatory expert.

3 Participants will conduct the customer interviews.

4 Summarize findings and share them with your team.

5 Teams will analyze the results and apply feedback from the interviews to their plans.

6 Participants will pitch the results from customer validation.

1 Finalizing the user journey

2 Finalizing the pricing model

3 Map out product User journey main features.

4 Teams will revisit the BMC, after validation challenges and design constraint workshop to identify pivots and update the BMC accordingly.

5 Teams will analyze the ecosystem surrounding their BMC and business challenges. This analysis

1 Finalizing the prototype

2 Finalizing the pitch deck

3 Prototype design.

4 Market sizing

5 Create a high-level financial forecast consisting of revenue and cost for the first 5 years, and calculate estimated cost and revenue

1 Pitch their ideas in a mock demo day.

2 Participants will update pitch deck based on feedback and continue practicing their pitch

1 Teams pitch their ideas in front of the judging panel.

2 Each project will be presented during the demo day.

3 Pitch brief to be shared with judges prior to the event.

4 Each project will be evaluated based on pre-determined criteria.

5 .Present an MVP at Demo Day

6 Winners (Top 3) will be announced.