Professional Credentials
MY CERTIFICATIONS
Professional credentials in Cloud Infrastructure, AI, Data Science, and Development — continuously advancing my expertise.
Oracle Cloud Infrastructure 2025 Certified DevOps Professional
Mastered application development, testing, security, and deployment using Oracle Cloud Infrastructure.
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Covers the full lifecycle of generative AI on OCI, including model selection, fine-tuning, and ethical AI use.
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Introduces AI principles with a focus on practical use cases within Oracle Cloud Infrastructure.
Artificial Intelligence Fundamentals
Covers core AI concepts including machine learning, NLP, computer vision, and real-world applications.
Building AI Agents with n8n
Comprehensive training on building intelligent automation workflows and AI agents using n8n's visual workflow builder, integrating multiple APIs and AI models for intelligent process automation.
Python for Data Science
Demonstrates proficiency in writing Python scripts and performing data analysis using Jupyter notebooks.
Introduction to Model Context Protocol
Mastered MCP architecture, building servers and clients that connect various tools and resources to Claude AI, enabling seamless integration of external tools with AI applications.
Building with the Claude API
Advanced proficiency in Anthropic's Claude API for building conversational AI applications, implementing RAG systems, and creating multimodal AI experiences with vision and text capabilities.
Claude Code in Action
Practical expertise in using Claude Code for software development, including advanced architecture patterns, context management strategies, and integrating AI-assisted coding into development workflows.
Introduction to Agent Skills
In-depth knowledge of creating, deploying, and maintaining Claude Code Skills for building scalable, context-efficient AI agent workflows with proper error handling and optimization techniques.
Data Fundamentals
Strong grasp of database concepts, table creation, and usage within IBM Watson Studio.
Career Essentials in Data Analysis
Foundational understanding of data analysis principles including data collection methodologies, interpretation techniques, visualization best practices, and applying insights to business problems.
Data Analytics for Business Professionals
Practical skills in applying advanced data analysis techniques to real-world business scenarios, transforming raw data into strategic insights for decision-making and business growth.
Data Visualization for Data Analysts
Expert-level proficiency in transforming complex datasets into compelling visual narratives using modern tools and design principles that drive data-driven decision-making and stakeholder engagement.
Web Development Fundamentals
Explores key web development tools and languages including HTML, CSS, and JavaScript.
Cybersecurity Fundamentals
Hands-on knowledge of threat types, risk management, cryptography, and incident response.