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Education & Credentials
Digital Innovation Digital Marketing AI Business Solutions Technical Innovation Strategic Marketing Digital Advertising Radical Innovation Branding Strategies Data Science Prompt Engineering AI Solutions Strategy
“A snapshot of my education and credentials in digital marketing, AI, and business strategy. Always ready to jump into exciting new projects.”
— Andrew Rivette
Digital Leadership
MicroMasters Program
Jun 2018 – May 2019
Program Description
A comprehensive 5-course graduate-level program spanning a year, focused on digital innovation, strategic transformation, and leadership in the digital age.
(Eligible for 25% credit toward BU’s MS in Digital Technology (MSDT) degree)
Digital Marketing
Feb – June 2018
Program Description
Executive Education course with Columbia Business School’s Prof. David Rogers – a globally recognized leader on brands, marketing & digital business strategy.
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Analyze evolving social media trends and network effects
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Strategies: Access, Engage, Customize, Connect, Collaborate
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Optimize digital advertising using real-world simulations
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Leverage data, customer insights, and brand experiences
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Measure ROI and enhance performance
Certificate
(credit toward Columbia Business School Certificate in Business Excellence)
Technical Innovation:
From Strategy to Application
Oct – Nov 2025
Program Description
Innovation the MIT way — explores the principles, strategies, and real-world applications of innovation across industries.
- Explores the concept and importance of radical innovation.
- Apply agile and lean methodologies to drive innovation effectively.
- Identify threats to innovation and practical ways to overcome them.
- Apply radical innovative thinking to future projects.
Artificial Intelligence for Business
June – August 2025
Program Description
AI for Business
Aug – Nov 2024
Course Description
Columbia+:
Explores the techniques for integrating Artificial Intelligence (AI) into business.
– AI Applications
– AI Modeling with Python
– Designing AI Business Solutions
– AI Solution Challenges
– Effective AI Implementation
Data Science Professional Certificate
Jun – Sept 2019
Program Description
A comprehensive nine-course Data Science program from IBM.
· Data Science Tools (Libraries, Packages, Jupyter, ML models)
· Watson Studio AI, IBM Cloud
· Data Analysis, Databases and SQL
· Artificial Intelligence (AI)
· Python Programming for AI
· Machine Learning with Python
Google AI Professional Certificate
March – April 2026
Program Description
Short Courses
AI Foundations Specialization
Course Description
Part of the IBM Applied Artificial Intelligence Professional Certificate.
Utilize IBM Watson AI services to integrate pre-built AI capabilities into products and solutions.
- Introduction to Artificial Intelligence
- Getting Started with AI using IBM Watson
- Building AI-Powered Chatbots
Prompt Engineering
Dec 2024
Short Course
Mastering the art of prompt engineering to unlock the full potential of AI, utilizing advanced strategies like Chain-of-Thought (CoT) Prompting and Generated Knowledge Prompting.
Multi-AI Agent Systems with crewAI
Feb 2025
Short Course
Learn key principles of designing effective AI agents, and organizing a team of AI agents to perform complex, multi-step tasks. Apply these concepts to automate 6 common business processes.
ChatGPT Prompt Engineering for Developers
Dec 2024
Short Course
A short course designed to teach developers how to effectively use large language models (LLMs) like ChatGPT via the OpenAI API to build powerful applications quickly.
The Art of Prompt Engineering
Dec 2024
Short Course
The course introduces prompt engineering using a state-of-the-art AI tool called Langchain to help gain a deep understanding of crafting effective prompts for AI models.