This certification validates proficiency in Pandas, the industry-standard Python library for data manipulation and analysis. Earned through Coddy, a practice-driven platform, the credential emphasizes hands-on application over theoretical knowledge, requiring the successful completion of 18 coding challenges across 19 specialized lessons.

Certification Overview:

• Course Name: Pandas Analytics
• Provider: Coddy (Coddy.tech), an interactive, practice-driven coding platform.
• Recipient: Randley Morales
• Date of Completion: December 16, 2025
• Course Load: 19 Lessons, 18 Challenges
• Issued By: Kevin Spektor, CTO
• Credential ID: PuC45Y-8cFuqK
• Verification URL: Certification | Coddy

Key Skills & Tech Stack:

• Data Structures: Proficiency in handling and manipulating core Pandas structures, specifically DataFrames and Series.
• Data Cleaning: Techniques for identifying and handling missing data, ensuring dataset integrity for analysis.
• Data Manipulation: Advanced filtering of datasets, modifying strings, and performing custom data modifications to transform raw data.
• Data Ingestion: Loading external data into DataFrames and preparing it for processing.

Tech Stack: Python, Pandas, Data Analysis, Data Cleaning.

SQL for Advanced is a specialized course designed to master complex querying techniques for sequential and analytical data processing. The curriculum consists of 13 lessons and 12 coding challenges, focusing heavily on Window Functions and query optimization strategies to handle sophisticated data reporting needs.

Certification Overview:

• Course Name: SQL for Advanced
• Provider: Coddy (Coddy.tech), an interactive, practice-driven coding platform.
• Recipient: Randley Morales
• Date of Completion: December 15, 2025
• Course Load: 13 Lessons, 12 Coding Challenges
• Issued By: Kevin Spektor, CTO
• Credential ID: PuC45Y-2UvLwC
• Verification URL: Certification | Coddy

Key Skills & Tech Stack:

• Window Functions: Expert use of ROW_NUMBER, RANK, DENSE_RANK, and NTILE for ranking and partitioning datasets.
• Sequential Analysis: Utilizing LEAD and LAG functions to compare current row data with preceding or following rows.
• Query Simplification: Implementing Common Table Expressions (CTEs) using the WITH keyword to organize complex logic and improve readability.
• Advanced Partitioning: Applying PARTITION BY and ORDER BY clauses within window functions for granular data segmentation.

Tech Stack: Advanced SQL, Data Warehousing, Analytical Querying.

Learn to Code with AI is a comprehensive course focused on integrating Artificial Intelligence tools into the software development workflow. The curriculum consists of 45 lessons and 4.5 hours of content, covering techniques to accelerate coding tasks, debug effectively, and convert code between languages using AI assistance.

Certification Overview:

• Course Name: Learn to Code with AI
• Provider: Scrimba
• Recipient: Randley Morales
• Date of Completion: December 15, 2025
• Course Load: 45 lessons, approx. 4.5 hours
• Issued By: Per Harald Borgen, CEO
• Credential ID: cert2JbLs3qgBU5faq35bx1QXq63LDw60HTkhwMLaC
• Verification URL: Certification | Scrimba

Key Skills & Tech Stack:

• AI-Assisted Coding: Using ChatGPT and similar tools to write, refactor, and explain code efficiently.
• Prompt Engineering: Crafting precise prompts to generate optimal code snippets and solutions.
• Code Conversion: Leveraging AI to translate logic between different programming languages.
• Debugging & Problem Solving: Utilizing AI as a pair programmer to identify bugs and explore alternative solutions.

Tech Stack: Artificial Intelligence (AI), Large Language Models (LLM), ChatGPT, Software Development.

The SQL for Intermediate certification, issued by Coddy, signifies an advanced capability to navigate and extract value from relational databases. Moving beyond basic CRUD operations, this credential focuses on the analytical power of SQL through 15 hands-on coding challenges, ensuring the holder can solve real-world data problems.

Certification Overview:

• Course Name: SQL for Intermediate
• Provider: Coddy (Coddy.tech), an interactive, practice-driven coding platform.
• Recipient: Randley Morales
• Date of Completion: December 14, 2025
• Course Load: 16 lessons, 15 Coding Challenges
• Issued By: Kevin Spektor, CTO
• Credential ID: PuC45Y-kqdSmI
• Verification URL: Certification | Coddy

Key Skills & Tech Stack:

• Advanced Joins: Proficiency in LEFT/RIGHT JOIN, SELF JOIN, and UNION to combine datasets from multiple sources.
• Statistical Analysis: Using aggregate functions and grouping ( GROUP BY) to calculate meaningful statistics and insights.
• Complex Querying: Implementing Subqueries for nested data retrieval and Engineering New Columns for advanced data transformation.
• Data Management: Handling date/time data types and managing relationships across multiple RDBMS tables.

Tech Stack: SQL, Relational Databases (RDBMS), Data Analysis.

The Learn RAG (Retrieval-Augmented Generation) certification from Scrimba marks a transition from traditional data analysis into the world of AI Engineering. This credential validates the ability to build “knowledge-aware” AI systems that ground Large Language Models (LLMs) in specific, private datasets to prevent hallucinations and provide context-specific answers.

Certification Overview:

• Course Name: Learn RAG (Retrieval-Augmented Generation)
• Provider: Scrimba
• Recipient: Randley Morales
• Date of Completion: December 2, 2025
• Course Load: 21 lessons, approx. 1.6 hours
• Issued By: Per Harald Borgen, CEO
• Credential ID: cert2JbLs3qgBU5faq35bx1QXq6tRy5WXpnwpRYRFi
• Verification URL: Certification | Scrimba

Key Skills & Tech Stack:

• Vector Databases: You learned to set up and manage a vector database, specifically using Supabase, to store data in a format AI can “understand”.
• Embeddings: The course covers creating text embeddings (converting text into number vectors) using the OpenAI API to enable semantic search.
• Semantic Search: Unlike the keyword search you learned in SQL (WHERE name LIKE…), this validates you can implement meaning-based search (e.g., finding “delicious dinner” when searching for “tasty food”).
• Text Chunking: You learned strategies for splitting large documents into smaller, manageable “chunks” to optimize AI retrieval.
• Real-World Application: The course culminates in building a “Solo Project: PopChoice” and a proof-of-concept AI Chatbot that can answer questions based on a specific knowledge base.

The Introduction to SQL certification from Scrimba serves as a rigorous foundation in relational database management, going well beyond basic syntax to cover professional-grade querying techniques. Through 48 lessons and a practical, project-based curriculum centered on a “Retro Car Store” database, this credential proves the ability to interact with and extract value from complex data systems.

Certification Overview:

• Course Name: Intro to SQL
• Provider: Scrimba
• Recipient: Randley Morales
• Date of Completion: November 25, 2025
• Course Load: 48 lessons, spanning approx. 3.8 hours of content
• Issued By: Per Harald Borgen, CEO
• Credential ID: cert2ffentAFNfAqNCv8rRN18moVCU4xuee5UeC4Faxbh6czp2
• Verification URL: Certification | Scrimba

Key Skills & Tech Stack:

• Core Fundamentals: Writing queries using SELECT, filtering with WHERE, sorting with ORDER BY, and limiting results.
• Data Manipulation: Modifying the database using INSERT, UPDATE, and DELETE commands.
• Relational Data: Creating tables and using JOINS (Inner, Left, Right) to combine data across multiple tables.
• Aggregation: Using functions like COUNT, SUM, and GROUP BY to analyze data.
• Advanced Logic: TUnlike many basic intro courses, this curriculum includes advanced concepts like Subqueries, CASE statements, and existence checks (ANY, ALL, EXISTS).
• Project Work: The course typically involves building queries for a real-world scenario, such as a retro car store database.

The SQL for Beginners certification from Coddy marks the successful entry into the world of relational databases through a practice-first methodology. Rather than just memorizing syntax, this credential focuses on solving functional logic puzzles, culminating in “Final Challenges” that simulate real-world data scenarios like law enforcement records and election results.

Certification Overview:

• Course Name: SQL for beginners
• Provider: Coddy (Coddy.tech), an interactive, practice-driven coding platform.
• Recipient: Randley Morales
• Date of Completion: November 19, 2025
• Issued By: Kevin Spektor, CTO
• Credential ID: PuC45Y-qrrEEX
• Verification URL: Certification | Coddy

Key Skills & Tech Stack:

• Database Concepts: Understanding what a database is and how it is structured.
• Basic Queries: Writing statements to retrieve data, including working with unique values and nulls.
• Conditional Logic: Using conditional statements (likely WHERE, AND, OR) to filter specific data.
• Sorting & Limiting: Organizing results and restricting the number of records returned.
• Advanced Filtering: Using keywords like IN, BETWEEN, and LIKE for more complex data retrieval.
• Aliases: Renaming columns or tables for better readability.
• Practical Application: The course concludes with “Final Challenges” (e.g., simulating police arrests or election data scenarios) to test your ability to solve real-world problems.

The Ethics of AI certification from Great Learning represents a critical layer of professional responsibility, moving beyond technical implementation to address the societal impact of artificial intelligence. This credential validates a comprehensive understanding of the moral frameworks required to build trustworthy, unbiased, and transparent AI systems.

Certification Overview:

• Course Name: Ethics of AI
• Provider: Great Learning
• Recipient: Randley Morales
• Date of Completion: October, 2025
• Issued By: Harish K. Subramanian, Academic Director
• Verification URL: Certification | Great Learning

Key Concepts Likely Covered:

• Algorithmic Bias: Understanding how training data (like the datasets you queried in SQL) can introduce unfair prejudices into AI models.
• Fairness & Accountability: Learning frameworks to ensure AI decisions (like those made by your “Agents”) are equitable and that there is a clear chain of responsibility.
• Transparency & Explainability (XAI): The importance of “Black Box” models being interpretable—critical when using the complex RAG systems you learned to build.
• Data Privacy: Navigating the ethical boundaries of surveillance and data usage, which is directly relevant to the vector databases you managed in your RAG course.

The Introduction to AI Agents certification from Great Learning marks an advancement from static AI models to Agentic AI—systems capable of autonomous decision-making and task execution. This credential validates the ability to design and implement “agents” that don’t just generate text, but actively perceive their environment and take goal-oriented actions.

Certification Overview:

• Course Name: Introduction to AI Agents
• Provider: Great Learning
• Recipient: Randley Morales
• Date of Completion: September, 2025
• Issued By: Harish K. Subramanian, Academic Director
• Verification URL: Certification | Great Learning

Key Concepts Likely Covered:

• Agentic vs. Generative: Understanding the difference between AI that creates content (GenAI) and AI that executes tasks/decisions (Agentic AI).
• Decision-Making Models: Learning how agents make choices using frameworks like Rule-Based, Goal-Based, and Utility-Based systems.
• Reinforcement Learning (RL): The course typically introduces the fundamentals of RL, specifically Q-Learning and Q-Tables, teaching how agents learn from environmental rewards rather than just static datasets.
• Agent Environments: Analyzing different environments (Static vs. Dynamic, Fully vs. Partially Observable) to determine how an agent should perceive and act.
• Python Implementation: Building a simple autonomous agent using Python to solve navigation or optimization problems.

The Python Foundations certification from Great Learning represents the core architectural bedrock for modern AI development. This credential validates a transition from basic scripting to professional Software Engineering principles, ensuring that data-driven projects—like those in SQL, Pandas, and RAG—are built on a scalable and efficient codebase.

Certification Overview:

• Course Name: Python Foundations
• Provider: Great Learning
• Recipient: Randley Morales
• Date of Completion: September, 2025
• Issued By: Mohan Lakhamaraju, Founder and CEO, Great Learning
• Verification URL: Certification | Great Learning

Key Concepts Likely Covered:

• Core Syntax & Logic: Mastery of variables, data types (Integers, Floats, Strings), and flow control (If-Else conditions, For/While loops) to write logical scripts.
• Data Structures: Using Lists, Tuples, Dictionaries, and Sets to organize and store complex data efficiently—a critical skill for handling the JSON outputs from LLMs in your RAG projects.
• Modular Programming: Writing Functions to create reusable code blocks, which is essential for defining “Tools” for AI Agents.
• Object-Oriented Programming (OOP): Understanding Classes and Objects, which is the exact architectural pattern used to build the “Agents” and “Retrievers” in frameworks like LangChain or Scrimba’s AI courses.
• Data Science Libraries: The curriculum typically introduces NumPy and Pandas, bridging the gap between raw coding and mathematical analysis.