Certification

Deep Learning Specialization

Completing the Deep Learning Specialization by DeepLearning.AI, I've honed my skills in building and training neural network architectures, including NLP, CNNs, RNNs, LSTM, GRU, and Transformers. My proficiency with TensorFlow and Python, coupled with my hands-on experience in projects from facial recognition to natural language processing, positions me at the forefront of AI innovation. This portfolio is a window into my journey, showcasing practical applications and a commitment to advancing AI technology.

January 2024

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Generative AI with Large Language Models

In a comprehensive course designed by Amazon Web Services (AWS) and DeepLearning.AI, I have honed my expertise in Generative AI with Large Language Models (LLMs). This endeavor has endowed me with a deep understanding of generative AI's capabilities and applications, underpinned by the transformative power of LLMs. I've acquired a command over Python programming for AI, delved into machine learning principles, and mastered the sophisticated transformer architecture pivotal to modern AI solutions.

The curriculum, meticulously crafted by industry leaders and expert practitioners, has empowered me to navigate the generative AI project lifecycle effectively. From data curation to model deployment, my newly refined skills include optimizing model objectives and applying advanced training and fine-tuning strategies within various operational constraints.

Through hands-on projects and explorations of real-world case studies, my learning journey has culminated in a nuanced appreciation of the challenges and opportunities that generative AI presents in the business context. This training has elevated my ability to build and deploy generative AI models, ensuring I am well-equipped to innovate and drive success in any future endeavors involving LLMs and AI-driven technologies.

January 2024

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Google Business Intelligence Professional Certificate

Completed extensive three-month job-ready Google Career Certificate training. Demonstrated hands-on experience with core BI practices and tools, including Google DataFlow and Tableau. Confidence in ETL and data modeling processes for extracting data from operational/transactional databases, transforming it into a usable form. Experienced creating and maintaining dashboards and effectively communicating data insights to stakeholders. Fluency in computer programming languages and a solid understanding of databases.

August 2023

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Microsoft Learn AI Skills Challenge

Microsoft Learn AI Skills Challenge (July 17 – August 14, 2023)

Participated in Microsoft's comprehensive AI challenge, gaining hands-on experience in multiple domains. Completed and earned certifications for:

AI Builder Challenge: Acquired skills in AI Builder, focusing on creating models and integrating them into Power Apps and Power Automate. Delved into building topics, custom entities, and variables to capture and utilize information within bots.
Machine Learning Challenge: Explored Azure Machine Learning, learning to create and publish machine learning models without coding. Gained insights into developer tools to engage with the workspace.

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Introduction to Agile Development and Scrum

The 5 practices of Agile, a subset of DevOps: small batches, minimum viable product, pair programming, behavior- and test-driven development. Create and refine a product backlog using the sprint planning process. Produce potentially shippable product increments with every iteration. Write good user stories, estimate and assign story points and track stories using a kanban board. Incorporate Scrum artifacts, events, and benefits. Create and refine a product backlog using the sprint planning process. Produce potentially shippable product increments with every iteration. Create burndown charts to forecast the ability to meet a sprint goal. Use metrics to enhance performance, productivity, and client satisfaction.

April 2023

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AI for Everyone

The "AI for Everyone" certificate program from DeepLearning.AI covers AI terminology, strategy, and the workflows of machine learning and data science projects. Through this program, you can gain practical skills for developing and implementing AI solutions, as well as ethical considerations and effective communication and team leadership skills. Completing this program can prepare you to make AI-driven decisions in a company and provide a strong foundation in AI for real-world business challenges.

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Google Data Analytics Professional Certificate

Those who earn the Google Data Analytics Certificate have completed eight courses, developed by Google, that include hands-on, practice-based assessments and are designed to prepare them for introductory-level roles in Data Analytics. They are competent in tools and platforms including spreadsheets, SQL, Tableau, and R. They know how to prepare, process, analyze, and share data for thoughtful action.

December 2022

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IBM Data Science Professional Certificate

The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real data sets.

February 2023

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Object Localization with TensorFlow

Create synthetic data for model training
Create and train a multi output neural network to perform object localization
Create custom metrics and calbacks in Keras

January 2023

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Getting Started with Azure DevOps Boards

Create and setup an Azure DevOps project.

Create teams and invite coworkers to your project.

Create and import work items in Azure DevOps Boards.

Customize project's boards, and organize your work items.

March 2023
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How to create a Jira SCRUM project

Create a Scrum project in Jira

Manage sprints, use board, roadmap and backlog

Add dependencies, use story points and create a burndown chart

March 2023
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Get started with Jira

Create an agile project in Jira

Set up and manage a Kanban board with epics, tasks and WIP limits

Manage workflow and roadmap to plan and execute

March 2023
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Analyze and model time series

Time Series Expertise: Acquired proficiency in analyzing and modeling time series data using various techniques, such as ARIMA and state-space models, for trend identification, anomaly detection, and forecasting purposes.

September 2022
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Apply statistical learning to connected objects

IoT Statistical Learning: Developed skills in applying statistical learning methods to optimize and enhance connected devices' performance, enabling better decision-making and efficient resource utilization in IoT systems.

September 2022
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Evaluate the performance of a machine learning model

ML Model: Gained competence in evaluating machine learning models using performance metrics like accuracy, F1 score, and AUC-ROC, ensuring accurate predictions, and optimizing model selection for various tasks.

September 2022
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Clean and analyze your dataset

Data Cleaning & Analysis: Mastered the process of cleaning, preparing, and analyzing datasets, improving data quality and ensuring reliable insights for informed decision-making.