Kaggle and Google are launching a free 5-day intensive course on VibeCoding. π
Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. π€ The program includes daily tasks, live streams, discussions, and practical projects. π»
After completion, participants will receive an official certificate that can be added to their portfolio. π
Start date: June 15th. π
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google π
If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. π
#Kaggle #Google #VibeCoding #AIAgents #Coding #AI #TechNews #FreeCourse
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. π€ The program includes daily tasks, live streams, discussions, and practical projects. π»
After completion, participants will receive an official certificate that can be added to their portfolio. π
Start date: June 15th. π
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google π
If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. π
#Kaggle #Google #VibeCoding #AIAgents #Coding #AI #TechNews #FreeCourse
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€5
βοΈ Python Tutorial β a detailed course for beginners!
A comprehensive Python training course that systematically covers the basics of the language: variables, conditions, loops, functions, lists, dictionaries, OOP, etc. The material is accompanied by code examples and clear explanations, making it suitable even for those who are just starting their journey in programming.
π I'll leave a link: beginnersbook.com
#Python #Tutorial #Coding #Programming #LearnToCode #TechSkills
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
A comprehensive Python training course that systematically covers the basics of the language: variables, conditions, loops, functions, lists, dictionaries, OOP, etc. The material is accompanied by code examples and clear explanations, making it suitable even for those who are just starting their journey in programming.
π I'll leave a link: beginnersbook.com
#Python #Tutorial #Coding #Programming #LearnToCode #TechSkills
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€2π1
Guide to scalable system design and interviews ππ
https://github.com/karanpratapsingh/system-design
#SystemDesign #Scalability #TechInterviews #SoftwareEngineering #DevCommunity #Coding
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
https://github.com/karanpratapsingh/system-design
#SystemDesign #Scalability #TechInterviews #SoftwareEngineering #DevCommunity #Coding
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€4
Anthropic, together with Frontend Masters, have launched a free course on Claude Code. π
And this is not a superficial overview, but a thorough analysis of the tool for those who want to really improve their vibe coding and work with AI agents. π€
The course is led by Lydia Hallie from Anthropic. π©βπ»
Inside:
β’ basics of Claude Code
β’ skills
β’ hooks
β’ sub-agents
β’ MCP
β’ plugins
β’ Agent SDK
β’ advanced work scenarios
A good entry point for those who want not just to "ask AI to write code", but to build a proper workflow around Claude Code. π οΈ
Link:
http://frontendmasters.com/courses/claude-code
#Anthropic #FrontendMasters #ClaudeCode #AIAgents #Coding #LLM
And this is not a superficial overview, but a thorough analysis of the tool for those who want to really improve their vibe coding and work with AI agents. π€
The course is led by Lydia Hallie from Anthropic. π©βπ»
Inside:
β’ basics of Claude Code
β’ skills
β’ hooks
β’ sub-agents
β’ MCP
β’ plugins
β’ Agent SDK
β’ advanced work scenarios
A good entry point for those who want not just to "ask AI to write code", but to build a proper workflow around Claude Code. π οΈ
Link:
http://frontendmasters.com/courses/claude-code
#Anthropic #FrontendMasters #ClaudeCode #AIAgents #Coding #LLM
β€6π2
Forwarded from Udemy Free
Python Programming for Beginners: Learn Python from Scratch
Python Programming for Beginners: Learn Python from Scratch (Master Data Analysis, Step-by-Step with Practice Exercises)β¦
π· Category: development
π Language: English (US)
π₯ Students: 38,796 students
βοΈ Rating: 4.3/5.0 (964 reviews)
πββοΈ Enrollments Left: 9
β³ Expires In: 0D:4H:4M
π° Price:$9.59 βΉ FREE
π Coupon:
β οΈ Watch 2 short ads to unlock your free access.
π By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScience
Python Programming for Beginners: Learn Python from Scratch (Master Data Analysis, Step-by-Step with Practice Exercises)β¦
π· Category: development
π Language: English (US)
π₯ Students: 38,796 students
βοΈ Rating: 4.3/5.0 (964 reviews)
πββοΈ Enrollments Left: 9
β³ Expires In: 0D:4H:4M
π° Price:
π Coupon:
02E367A95E4BACD13ECEβ οΈ Watch 2 short ads to unlock your free access.
π By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScience
β€2π1
Media is too big
VIEW IN TELEGRAM
Google just released a free 2-hour course on full Graph engineering: 1 prompt β 100 agents β loops β graphs from 0% to 100%: π€βοΈ
10% β 17:44 - build your first agent π
30% β 39:30 - Loop engineering: iterate, check, break π
60% β 1:12:38 - Graph engineering πΈοΈ
75% β 1:34:26 - agents that throttle themselves β‘
100% β 1:55:05 - full graph for multi-agentic systems ποΈ
everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph.
watch the course, build the graph - then read the full architecture below β
More: https://telegra.ph/Graph-Engineering-build-1000-agent-loops-in-one-window-from-one-prompt-full-5-step-course-08-02
#GraphEngineering #AI #Agents #Graphs #Tech #Coding
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10% β 17:44 - build your first agent π
30% β 39:30 - Loop engineering: iterate, check, break π
60% β 1:12:38 - Graph engineering πΈοΈ
75% β 1:34:26 - agents that throttle themselves β‘
100% β 1:55:05 - full graph for multi-agentic systems ποΈ
everyone builds one agent and calls it done - this is the full system where agents wire themselves into a graph.
watch the course, build the graph - then read the full architecture below β
More: https://telegra.ph/Graph-Engineering-build-1000-agent-loops-in-one-window-from-one-prompt-full-5-step-course-08-02
#GraphEngineering #AI #Agents #Graphs #Tech #Coding
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β€7π1
Forwarded from Machine Learning
π This is probably one of the best technical books on how large language models are trained at scale:
> GPU memory and profiling
> Breaking down computations into blocks, kernel fusion, and FlashAttention
> Data parallelism, tensor parallelism, pipeline parallelism, and context parallelism
I've already read the free online version, but I still had to buy a physical copy for my library. π
You can also read it for free on Hugging Face:
https://huggingface.co/spaces/nanotron/ultrascale-playbook
#LLM #AI #MachineLearning #TechBooks #DataScience #Coding
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> GPU memory and profiling
> Breaking down computations into blocks, kernel fusion, and FlashAttention
> Data parallelism, tensor parallelism, pipeline parallelism, and context parallelism
I've already read the free online version, but I still had to buy a physical copy for my library. π
You can also read it for free on Hugging Face:
https://huggingface.co/spaces/nanotron/ultrascale-playbook
#LLM #AI #MachineLearning #TechBooks #DataScience #Coding
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β€8π2
Forwarded from Learn Python Coding
Here's a small fact about Python π
The
It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time.
For example:
Without it, you would have to retrieve the value separately using
Have you ever used the
#Python #Programming #WalrusOperator #Coding #TechFacts #Python3
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The
:= operator is called the "walrus" because the symbols resemble the eyes and tusks of a walrus π¦It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time.
For example:
while (line := input("Say something: ")) != "quit":
print(f"You said: {line}")Without it, you would have to retrieve the value separately using
input(), and then check it.Have you ever used the
:= operator in your code?#Python #Programming #WalrusOperator #Coding #TechFacts #Python3
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Telegram
AI PYTHON π
Youβve been invited to add the folder βAI PYTHON πβ, which includes 15 chats.
β€7π6
Understanding algorithms changes the way you write code. π§ This playlist teaches you exactly that: understanding.
Pavel Mavrin. 61 lectures. Free. π
Here's the difference:
Before understanding algorithms:
- You use hash tables for everything.
- You write the code first, then optimize it.
- You estimate the time complexity randomly.
After:
- You choose the appropriate data structure for the task.
- You think about complexity before writing the code.
- You learn an approach that is suitable for solving the problem.
What you will learn:
β Time complexity and sorting.
β Dynamic programming.
β Advanced trees: segment tree, Fenwick tree, splay tree, link-cut tree.
β Graph algorithms: traversals, shortest paths, flows.
β String algorithms: substring search, suffix structures.
β Fast Fourier Transform, linear programming, cryptography.
https://www.youtube.com/playlist?list=PLrS21S1jm43igE57Ye_edwds_iL7ZOAG4
https://t.me/CodeProgrammer
#Algorithms #ComputerScience #Programming #DataStructures #Learning #Coding
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Pavel Mavrin. 61 lectures. Free. π
Here's the difference:
Before understanding algorithms:
- You use hash tables for everything.
- You write the code first, then optimize it.
- You estimate the time complexity randomly.
After:
- You choose the appropriate data structure for the task.
- You think about complexity before writing the code.
- You learn an approach that is suitable for solving the problem.
What you will learn:
β Time complexity and sorting.
β Dynamic programming.
β Advanced trees: segment tree, Fenwick tree, splay tree, link-cut tree.
β Graph algorithms: traversals, shortest paths, flows.
β String algorithms: substring search, suffix structures.
β Fast Fourier Transform, linear programming, cryptography.
https://www.youtube.com/playlist?list=PLrS21S1jm43igE57Ye_edwds_iL7ZOAG4
https://t.me/CodeProgrammer
#Algorithms #ComputerScience #Programming #DataStructures #Learning #Coding
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β€9
π Download 10 Python books for FREE:
1. Think Python β OβReilly
https://t.co/X7y3pX68IW
2. The Big Book of Small Python Projects
https://inventwithpython.com/bigbookpython/
3. Data Structures
https://opendatastructures.org/ods-python.pdf
4. Data Science Handbook
https://t.co/9aOLdiAbim
5. Data Analysis
https://wesmckinney.com/book/
6. Data Science
https://t.co/TusyBWGfrx
7. Machine Learning
https://t.co/7veOwESe8q
8. Statistics
https://t.co/waWDQylQpY
9. Think Bayes
https://allendowney.github.io/ThinkBayes2/
10. Clean Code in Python β Packt
https://t.co/OHhVgF1L65
#Python #FreeBooks #Programming #DataScience #MachineLearning #Coding
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1. Think Python β OβReilly
https://t.co/X7y3pX68IW
2. The Big Book of Small Python Projects
https://inventwithpython.com/bigbookpython/
3. Data Structures
https://opendatastructures.org/ods-python.pdf
4. Data Science Handbook
https://t.co/9aOLdiAbim
5. Data Analysis
https://wesmckinney.com/book/
6. Data Science
https://t.co/TusyBWGfrx
7. Machine Learning
https://t.co/7veOwESe8q
8. Statistics
https://t.co/waWDQylQpY
9. Think Bayes
https://allendowney.github.io/ThinkBayes2/
10. Clean Code in Python β Packt
https://t.co/OHhVgF1L65
#Python #FreeBooks #Programming #DataScience #MachineLearning #Coding
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β€7
Forwarded from Machine Learning
π A Comprehensive Resource for Machine Learning Practice
The platform offers:
π«‘ 1200+ machine learning tasks;
π«‘ Mathematics, from linear algebra to PCA;
π«‘ Deep Learning, NLP, and Computer Vision;
π«‘ Labs with real datasets;
π«‘ Learning paths and interview preparation;
π«‘ Projects using GPT, RL, and CUDA.
Almost everything can be accessed directly in your browser, and basic tasks are available for free.
βοΈ Link to the platform
https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
#MachineLearning #DeepLearning #DataScience #AI #Coding #Tech
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The platform offers:
π«‘ 1200+ machine learning tasks;
π«‘ Mathematics, from linear algebra to PCA;
π«‘ Deep Learning, NLP, and Computer Vision;
π«‘ Labs with real datasets;
π«‘ Learning paths and interview preparation;
π«‘ Projects using GPT, RL, and CUDA.
Almost everything can be accessed directly in your browser, and basic tasks are available for free.
βοΈ Link to the platform
https://enghusseinsheikho.substack.com/p/a-comprehensive-resource-for-machine?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
#MachineLearning #DeepLearning #DataScience #AI #Coding #Tech
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β€7