Credentials

Certifications

Professional certifications, courses, and badges across ML, AI, and engineering.

Model Context Protocol: Advanced Topics

Anthropic

Advanced MCP development covering server-client communication, transport mechanisms, sampling, notifications and production deployment.

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Introduction to Model Context Protocol

Anthropic

Building MCP servers and clients from scratch, covering tools, resources and prompts for connecting Claude with external services.

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Claude Code in Action

Anthropic

AI coding assistant architecture, tool use systems, context management and GitHub integration.

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Software Engineering Specialization

Software Engineering Specialization

The Hong Kong University of Science and Technology

Core software engineering principles, design patterns, and development practices.

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Machine Learning with Python

Machine Learning with Python

IBM

Certification in Machine Learning with Python.

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Generative AI Fundamentals

Generative AI Fundamentals

Databricks

Fundamentals of generative AI, LLMs, and responsible AI practices.

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AI Agent Fundamentals

AI Agent Fundamentals

Databricks

Building and orchestrating AI agents, tools, and workflows.

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Machine Learning Specialization

Machine Learning Specialization

Stanford University

Supervised learning, unsupervised learning, and best practices in ML.

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Advanced Learning Algorithms

Stanford University

Neural networks, decision trees and ensemble methods.

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Deep Learning and Neural Networks

IBM

Fundamentals of deep learning and neural network architectures.

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Foundations of Cybersecurity

Google

Introduction to cybersecurity concepts and practices.

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Keras and TensorFlow

IBM

Building and training models with Keras and TensorFlow.

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Neural Networks and PyTorch

IBM

Neural networks development with PyTorch framework.

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Programming in Python

Meta

Python programming fundamentals and best practices.

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Prompt Engineering Basics

IBM

Introduction to prompt engineering for LLMs.

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Prompt Engineering

Rocketseat

Prompt engineering techniques and applications.

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Regression and Classification

Stanford University

Supervised learning, regression and classification algorithms.

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Security Operations Center

IBM

SOC fundamentals and security monitoring.

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Unsupervised Learning

Stanford University

Clustering, dimensionality reduction and unsupervised methods.

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