How a FinTech Leader Upskilled with MIT’s No Code and Agentic AI Program?

This success story explores how a seasoned technology and FinTech leader leveraged the No Code and Agentic AI program, formerly known as (No Code AI and Machine Learning: Building Data Science Solutions certificate program) from MIT Professional Education, delivered in collaboration with Great Learning, to strengthen her AI and data science capabilities and adapt to the evolving demands of the digital economy.

Currently serving as Director of Business Development – Digital Partnerships at Mastercard, Djiba Diallo previously served as Senior FinTech Advisor at Ecobank, one of Africa’s leading banking groups. Based in Senegal, she holds a master’s degree in computer science from Pierre and Marie Curie University in France.

Over the course of her career, she has worked extensively with developers, startups, and innovation ecosystems across Africa, contributing to technology-led growth and digital transformation initiatives. 

With years of experience at the intersection of finance and technology, she recognized AI's growing impact on the future of business and decided to deepen her expertise to stay ahead in an increasingly AI-driven landscape.

This is the story of her proactive journey to get back on track, bridge a critical knowledge gap, and leverage AI to solve real-world business problems.

What Motivated Djiba Diallo to Learn AI?

While she acquired foundational knowledge of artificial intelligence during her university studies, she recognized that the technology has evolved dramatically since then. To remain effective as a leader driving organizational transformation, she identified a strategic need to update her expertise as she stated:

"During my studies at university, I learned a little bit of artificial intelligence, but of course, at that time, it was not as developed as it is today. So now that artificial intelligence is booming, it's crucial for me to get back on track and strengthen my knowledge on artificial intelligence so that I can help businesses better."

How Did the Non-Coding Curriculum Align With Her Strategic Objectives?

To bridge this knowledge gap, Djiba enrolled in the No Code and Agentic AI program, formerly known as (No Code AI and Machine Learning: Building Data Science Solutions certificate program)

Despite her formal background in computer science, she chose a curriculum that prioritized conceptual understanding and business applications over deep, line-by-line programming. Djiba shared:

"The non-code option was ideal for me because it really helped me get a very deep understanding without getting too much into the details of programming. The objective of participating in this program was to remain relevant and effective in my current role, while also playing an active role as a leader in driving transformation.”

Watch Djiba’s full testimonial detailing her learning journey here:

How Did the Program Structure Facilitate Practical Application?

For Djiba, the learning experience successfully balanced academic theory with actionable business strategies. The program structure allowed her to rapidly prototype and test ideas, bringing abstract concepts into focus.

“It was great. The program was very well structured and articulated. It was very well balanced between theoretical learning and practical application. I particularly appreciated the real-world case studies that brought AI concepts to life.”

She also appreciated how accessible the curriculum was for professionals from different backgrounds:

“The content was quite accessible. Even if you don't have a full technology background, it was quite interesting to see that you could still be able to follow up and make sure that you are learning something concrete.”

Djiba further highlighted the robust support ecosystem designed to help learners succeed throughout the program:

“What I really appreciate is the learning support provided. It was really outstanding because it helped us remain on track, make sure that we were making progress, and that we take full advantage of the program and the training.”

What Were the Measurable Outcomes of Applying AI to Everyday Business Problems?

The hands-on projects were a transformative part of the journey. By utilizing specialized no-code platforms, Djiba was able to immediately translate her new skills into strategic business applications, effectively bridging the gap between business and technology.

“One of my favorite parts was obviously the hands-on projects because it enabled us to quickly prototype machine learning models without writing a single line of code.”

She also emphasized how the program strengthened her ability to connect AI capabilities with practical business outcomes.

“I also liked the fact that it helped us bring together business and technology. It was about how we could use technology to solve real business problems that we are facing every day.”

The program equipped her with practical AI deployment capabilities while also sharpening her strategic thinking around innovation and product impact.

“First of all, I am now able to design and deploy ML models without coding at all by using no-code platforms. Something very important is that I learned how to frame business problems in a way that AI can effectively address them.”

“It also helped me develop a strong understanding of model training, evaluation, and deployment of new ML/AI models without programming at all.”

“It also helped me strengthen my strategic thinking on how we could leverage AI into products or services that we make available so that we can effectively drive measurable impact.”

What Guidance Does Djiba Offer to Professionals Navigating AI Transformation?

For professionals considering a similar path to upskill and earn a certificate of completion from MIT Professional Education, Djiba offers this direct advice:

“I would suggest embracing the learning journey with curiosity and never hesitating to ask questions. Make sure to actively engage in projects throughout the training and start thinking about how you can apply the insights and learnings from the program to real-world challenges, whether within your industry or in ways that could benefit the community you live in.”

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