Summary of How to Build a Real-World AI Project Portfolio

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00:00:00 - 01:00:00

The video discusses how to build a portfolio for an AI project, with a focus on how to get experience in different areas and how to showcase your skills. It recommends using platforms like GitHub and LinkedIn to showcase your projects, and also advises considering which companies you want to work for when creating your portfolio.

00:00:00 Today's talk focuses on how to build an AI project portfolio, with particular emphasis on how to build skills in data science and machine learning. The speakers are Anna Coraliva, Muhammad Amir, and Kennedy Wangari, all of whom have backgrounds in various non-technical disciplines that have helped them build strong skills in these areas.
00:05:00 The speaker discusses their journey into the field of AI, starting with courses and then moving into projects. They mention that community play a significant role in their journey, and that gaining hands-on experience is important.
00:10:00 The video discusses the journey of a data scientist who has learned how to apply their skills in different real-world contexts, such as through internships and courses on Coursera. It also discusses how to build a real-world AI project portfolio to show potential employers that you are ready to start a project.
00:15:00 The video discusses how to build a real-world AI project portfolio, emphasizing the importance of learning by doing and having experience in different areas. Muhammad recommends specializing in a single domain, and Kennedy agrees.
00:20:00 The author recommends starting with fundamental skills in programming languages, data science, and machine learning, and then stepping up to more complex projects. The author also recommends taking courses that focus on practical experiences and skills development.
00:25:00 The author recommends courses for deep learning research, stating that data science and AI are constantly advancing, and that it's important to pick courses that will keep up.
00:30:00 An AI portfolio can include a variety of different projects, which can help you learn about different aspects of AI. Projects should be relevant to your career goals, and should be maintained and updated to ensure they are up to date.
00:35:00 The video discusses ways to build a portfolio that showcases your technical ability and ability to code, as well as projects that have a meaningful impact. It recommends using GitHub and LinkedIn as platforms for showcasing your projects, and also recommends writing articles or creating tutorials on specific topics to show off your skills. Finally, it advises considering which companies you want to work for and tailoring your portfolio to match.
00:40:00 The speaker discusses how to build a portfolio that is relevant to employers and research institutes, emphasizing the importance of soft skills such as communication.
00:45:00 The presenter discusses a real-world AI project they worked on at Omdena. The project aimed to reduce road accidents using machine learning and NLP. The presenter provides an overview of how a project evolves and discusses how organizational structures allow for a free and open collaboration between team members.
00:50:00 The speaker discusses the importance of data and how it can help improve the quality of models created in AI projects. They also discuss the various methods used in their project, including traditional signal processing methods, deep learning approaches, and rules-based reasoning. The speaker concludes the talk by discussing the importance of deployment and how it can help speed up the completion of an AI project.
00:55:00 In this video, the presenter discusses some of the different types of portfolios an AI developer might create, and how to distinguish them. He also discusses how to create a portfolio that will be effective in getting hired.

01:00:00 - 01:05:00

This video discusses how to build a real-world AI project portfolio, and offers tips on how to find and submit project ideas, as well as how to win jobs with your skills. The speaker provides advice on how to find and work on projects that match your interests and passions, and how to create a portfolio that will impress potential employers.