Whenever I have time, I spend it learning new things through courses, tutorials or online classes. This is a good way to gouge my interest in things, even outside of my professional engagements.
During a technical assessment in June 2024 I came to realize that Ruby and Ruby on Rails is actually quite fun to work with. So that is when my interest in Ruby and RoR started.
Ruby for beginners:
Build a blog in Rails:
At the moment, I am spending a lot of time getting more knowledge of AI/ML, LLMs and GenAI because the topic interests me very deeply. This doesn't mean that I am stepping away from web & app development. But rather, gaining an edge on implementation of AI within web and application development.
You can click on the arrows (➽) for the completion certificates
courses
Topic:AI, LLMs & ML
☑ Evaluating and Debugging Generative AI -
☑ Building Applications with Vector Databases -
☑ ChatGPT prompt Engineering for Developers -
☑ Fine-tuning Large Language Models -
☑ Building Your Own Database Agent -
☑ Introduction to on-device AI -
Topic:Langchain
☑ LangChain for LLM Application Development -
☑ Functions, Tools and Agents with LangChain -
☑ LangChain: Chat with Your Data -
AI/ML courses
Topic:GenAI
What Is LangChain? - LangChain + ChatGPT Overview
LangChain 101: Quickstart Guide
The LangChain Cookbook - Beginner Guide To 7 Essential Concepts
The LangChain Cookbook Part 2 - Beginner Guide To 9 Use Cases
LangChain 101: Agents Overview + Google Searches
LangChain 101: OpenAI + Wolfram Alpha
LangChain 101: Ask Questions On Your Custom (or Private) Files + Chat GPT
LangChain101: Connect Google Drive Files To OpenAI
LangChain 101: YouTube Transcripts + OpenAI
LangChain101: Question A 300 Page Book (w/ OpenAI + Pinecone)
Workaround OpenAI's Token Limit With Chain Types
Build Your Own OpenAI + LangChain Web App in 23 Minutes
LangChain 101: Working With The New ChatGPT API
OpenAI + LangChain Wrote Me 100 Custom Sales Emails
Structured Output From OpenAI (Clean Dirty Data)
Connect OpenAI To +5,000 Tools (LangChain + Zapier)
Use LLMs To Extract Data From Text (Expert Mode)
Extract Insights From Interview Transcripts Using LLMs
5 Levels Of LLM Summarizing: Novice to Expert
Control Tone & Writing Style Of Your LLM Output
Function Calling via ChatGPT API -
Extract Topics From Video/Audio With LLMs (Topic Modeling w/ LangChain)
In the past I focused on web-development and engineering. Doing courses was then replaced by actually doing the work and gaining practical experience rather than from tutorials and online courses.
2019: Object-oriented programming (OOP) with Python
2018: Python web-development with Flask and Django
2018: Microservice Development with Python & Flask
2017: Analyze and visualize data with Python
2017: SQL for Data Analysis
2017: Analyzing and visualizing Data with Excel
2017: Analyzing and visualizing Data with PowerBI
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I went through the entire Langchain series by Greg Kamradt as they came out. The playlist can now be found here:
It has build my foundational knowledge of how to interface with LLM APIs
