๐ฅ Free Courses on Large Language Models
โชChatGPT Prompt Engineering for Developers
โชLangChain for LLM Application Development
โชBuilding Systems with the ChatGPT API
โชGoogle Cloud Generative AI Learning Path
โชIntroduction to Large Language Models with Google Cloud
โชLLM University
โชFull Stack LLM Bootcamp
#ai #generativeai
โชChatGPT Prompt Engineering for Developers
โชLangChain for LLM Application Development
โชBuilding Systems with the ChatGPT API
โชGoogle Cloud Generative AI Learning Path
โชIntroduction to Large Language Models with Google Cloud
โชLLM University
โชFull Stack LLM Bootcamp
#ai #generativeai
๐๐ผ๐ ๐๐ผ ๐๐ฒ๐ ๐ฆ๐๐ฎ๐ฟ๐๐ฒ๐ฑ ๐ถ๐ป ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐ถ๐๐ต ๐ญ๐ฒ๐ฟ๐ผ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ!๐ง โก
AI might sound complex. But guess what?
You donโt need a PhD or 5 years of experience to break into this field.
Hereโs your 6-step beginner roadmap to launch your AI journey the smart way๐
๐น ๐ฆ๐๐ฒ๐ฝ ๐ญ: Learn the Basics of Python (Your AI Superpower)
Python is the language of AI.
โ Learn variables, loops, functions, and data structures
โ Practice with platforms like W3Schools, SoloLearn, or Replit
โ Understand NumPy & Pandas basics (theyโll be your go-to tools)
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฎ: Understand What AI Really Is
Before diving deep, get clarity.
โ What is AI vs ML vs Deep Learning?
โ Learn core concepts like Supervised vs Unsupervised Learning
โ Follow beginner-friendly YouTubers like โStatQuestโ or โCodebasicsโ
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฏ: Build Simple AI Projects (Even as a Beginner)
Start applying your skills with fun mini-projects:
โ Spam Email Classifier
โ House Price Predictor
โ Rock-Paper-Scissors Game using AI
Pro Tip: Use scikit-learn for most of these!
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฐ: Get Comfortable with Data (AI Runs on It!)
AI = Algorithms + Data
โ Learn basic data cleaning with Pandas
โ Explore simple datasets from Kaggle or UCI ML Repository
โ Practice EDA (Exploratory Data Analysis) with Matplotlib & Seaborn
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฑ: Take Free AI Courses (No Cost Learning)
You donโt need a fancy bootcamp to start learning.
โ โAI For Everyoneโ by Andrew Ng (Coursera)
โ โMachine Learning with Pythonโ by IBM (edX)
โ Kaggleโs Learn Track: Intro to ML
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฒ: Join AI Communities & Share Your Work
โ Join AI Discord servers, Reddit threads, and LinkedIn groups
โ Post your projects on GitHub
โ Engage in AI hackathons, challenges, and build in public
Your network = Your next opportunity.
๐ฏ ๐ฌ๐ผ๐๐ฟ ๐๐ถ๐ฟ๐๐ ๐๐ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ = ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฟ๐ ๐ฃ๐ผ๐ถ๐ป๐
Itโs not about knowing everythingโitโs about starting.
Consistency will compound.
Youโll go from โbeginnerโ to โbuilderโ faster than you think.
Free Artificial Intelligence Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
#ai
AI might sound complex. But guess what?
You donโt need a PhD or 5 years of experience to break into this field.
Hereโs your 6-step beginner roadmap to launch your AI journey the smart way๐
๐น ๐ฆ๐๐ฒ๐ฝ ๐ญ: Learn the Basics of Python (Your AI Superpower)
Python is the language of AI.
โ Learn variables, loops, functions, and data structures
โ Practice with platforms like W3Schools, SoloLearn, or Replit
โ Understand NumPy & Pandas basics (theyโll be your go-to tools)
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฎ: Understand What AI Really Is
Before diving deep, get clarity.
โ What is AI vs ML vs Deep Learning?
โ Learn core concepts like Supervised vs Unsupervised Learning
โ Follow beginner-friendly YouTubers like โStatQuestโ or โCodebasicsโ
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฏ: Build Simple AI Projects (Even as a Beginner)
Start applying your skills with fun mini-projects:
โ Spam Email Classifier
โ House Price Predictor
โ Rock-Paper-Scissors Game using AI
Pro Tip: Use scikit-learn for most of these!
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฐ: Get Comfortable with Data (AI Runs on It!)
AI = Algorithms + Data
โ Learn basic data cleaning with Pandas
โ Explore simple datasets from Kaggle or UCI ML Repository
โ Practice EDA (Exploratory Data Analysis) with Matplotlib & Seaborn
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฑ: Take Free AI Courses (No Cost Learning)
You donโt need a fancy bootcamp to start learning.
โ โAI For Everyoneโ by Andrew Ng (Coursera)
โ โMachine Learning with Pythonโ by IBM (edX)
โ Kaggleโs Learn Track: Intro to ML
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฒ: Join AI Communities & Share Your Work
โ Join AI Discord servers, Reddit threads, and LinkedIn groups
โ Post your projects on GitHub
โ Engage in AI hackathons, challenges, and build in public
Your network = Your next opportunity.
๐ฏ ๐ฌ๐ผ๐๐ฟ ๐๐ถ๐ฟ๐๐ ๐๐ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ = ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฟ๐ ๐ฃ๐ผ๐ถ๐ป๐
Itโs not about knowing everythingโitโs about starting.
Consistency will compound.
Youโll go from โbeginnerโ to โbuilderโ faster than you think.
Free Artificial Intelligence Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
#ai
๐๐ผ๐ ๐๐ผ ๐๐ฒ๐ ๐ฆ๐๐ฎ๐ฟ๐๐ฒ๐ฑ ๐ถ๐ป ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐ถ๐๐ต ๐ญ๐ฒ๐ฟ๐ผ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ!๐ง โก
AI might sound complex. But guess what?
You donโt need a PhD or 5 years of experience to break into this field.
Hereโs your 6-step beginner roadmap to launch your AI journey the smart way๐
๐น ๐ฆ๐๐ฒ๐ฝ ๐ญ: Learn the Basics of Python (Your AI Superpower)
Python is the language of AI.
โ Learn variables, loops, functions, and data structures
โ Practice with platforms like W3Schools, SoloLearn, or Replit
โ Understand NumPy & Pandas basics (theyโll be your go-to tools)
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฎ: Understand What AI Really Is
Before diving deep, get clarity.
โ What is AI vs ML vs Deep Learning?
โ Learn core concepts like Supervised vs Unsupervised Learning
โ Follow beginner-friendly YouTubers like โStatQuestโ or โCodebasicsโ
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฏ: Build Simple AI Projects (Even as a Beginner)
Start applying your skills with fun mini-projects:
โ Spam Email Classifier
โ House Price Predictor
โ Rock-Paper-Scissors Game using AI
Pro Tip: Use scikit-learn for most of these!
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฐ: Get Comfortable with Data (AI Runs on It!)
AI = Algorithms + Data
โ Learn basic data cleaning with Pandas
โ Explore simple datasets from Kaggle or UCI ML Repository
โ Practice EDA (Exploratory Data Analysis) with Matplotlib & Seaborn
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฑ: Take Free AI Courses (No Cost Learning)
You donโt need a fancy bootcamp to start learning.
โ โAI For Everyoneโ by Andrew Ng (Coursera)
โ โMachine Learning with Pythonโ by IBM (edX)
โ Kaggleโs Learn Track: Intro to ML
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฒ: Join AI Communities & Share Your Work
โ Join AI Discord servers, Reddit threads, and LinkedIn groups
โ Post your projects on GitHub
โ Engage in AI hackathons, challenges, and build in public
Your network = Your next opportunity.
๐ฏ ๐ฌ๐ผ๐๐ฟ ๐๐ถ๐ฟ๐๐ ๐๐ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ = ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฟ๐ ๐ฃ๐ผ๐ถ๐ป๐
Itโs not about knowing everythingโitโs about starting.
Consistency will compound.
Youโll go from โbeginnerโ to โbuilderโ faster than you think.
Free Artificial Intelligence Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
#ai
AI might sound complex. But guess what?
You donโt need a PhD or 5 years of experience to break into this field.
Hereโs your 6-step beginner roadmap to launch your AI journey the smart way๐
๐น ๐ฆ๐๐ฒ๐ฝ ๐ญ: Learn the Basics of Python (Your AI Superpower)
Python is the language of AI.
โ Learn variables, loops, functions, and data structures
โ Practice with platforms like W3Schools, SoloLearn, or Replit
โ Understand NumPy & Pandas basics (theyโll be your go-to tools)
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฎ: Understand What AI Really Is
Before diving deep, get clarity.
โ What is AI vs ML vs Deep Learning?
โ Learn core concepts like Supervised vs Unsupervised Learning
โ Follow beginner-friendly YouTubers like โStatQuestโ or โCodebasicsโ
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฏ: Build Simple AI Projects (Even as a Beginner)
Start applying your skills with fun mini-projects:
โ Spam Email Classifier
โ House Price Predictor
โ Rock-Paper-Scissors Game using AI
Pro Tip: Use scikit-learn for most of these!
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฐ: Get Comfortable with Data (AI Runs on It!)
AI = Algorithms + Data
โ Learn basic data cleaning with Pandas
โ Explore simple datasets from Kaggle or UCI ML Repository
โ Practice EDA (Exploratory Data Analysis) with Matplotlib & Seaborn
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฑ: Take Free AI Courses (No Cost Learning)
You donโt need a fancy bootcamp to start learning.
โ โAI For Everyoneโ by Andrew Ng (Coursera)
โ โMachine Learning with Pythonโ by IBM (edX)
โ Kaggleโs Learn Track: Intro to ML
๐น ๐ฆ๐๐ฒ๐ฝ ๐ฒ: Join AI Communities & Share Your Work
โ Join AI Discord servers, Reddit threads, and LinkedIn groups
โ Post your projects on GitHub
โ Engage in AI hackathons, challenges, and build in public
Your network = Your next opportunity.
๐ฏ ๐ฌ๐ผ๐๐ฟ ๐๐ถ๐ฟ๐๐ ๐๐ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ = ๐ฌ๐ผ๐๐ฟ ๐๐ป๐๐ฟ๐ ๐ฃ๐ผ๐ถ๐ป๐
Itโs not about knowing everythingโitโs about starting.
Consistency will compound.
Youโll go from โbeginnerโ to โbuilderโ faster than you think.
Free Artificial Intelligence Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
#ai