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Registeration link:๐
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www.geeksforgeeks.org
Practice | GeeksforGeeks | A computer science portal for geeks
Platform to practice programming problems. Solve company interview questions and improve your coding intellect
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Explore AI, machine learning, and cloud computing โ straight from Google and FREE
1. ๐Google AI for Anyone
2. ๐ปGoogle AI for JavaScript Developers
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Explore AI, machine learning, and cloud computing โ straight from Google and FREE
1. ๐Google AI for Anyone
2. ๐ปGoogle AI for JavaScript Developers
3. โ๏ธ Cloud Computing Fundamentals (Google Cloud)
4. ๐ Data, ML & AI in Google Cloud
5. ๐ Smart Analytics, ML & AI on Google Cloud
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Step-by-Step Approach to Learn Python
โ Learn the Basics โ Syntax, Variables, Data Types (int, float, string, boolean)
โ
โ Control Flow โ If-Else, Loops (For, While), List Comprehensions
โ
โ Data Structures โ Lists, Tuples, Sets, Dictionaries
โ
โ Functions & Modules โ Defining Functions, Lambda Functions, Importing Modules
โ
โ File Handling โ Reading/Writing Files, CSV, JSON
โ
โ Object-Oriented Programming (OOP) โ Classes, Objects, Inheritance, Polymorphism
โ
โ Error Handling & Debugging โ Try-Except, Logging, Debugging Techniques
โ
โ Advanced Topics โ Regular Expressions, Multi-threading, Decorators, Generators
Free Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
ENJOY LEARNING ๐๐
โ Learn the Basics โ Syntax, Variables, Data Types (int, float, string, boolean)
โ
โ Control Flow โ If-Else, Loops (For, While), List Comprehensions
โ
โ Data Structures โ Lists, Tuples, Sets, Dictionaries
โ
โ Functions & Modules โ Defining Functions, Lambda Functions, Importing Modules
โ
โ File Handling โ Reading/Writing Files, CSV, JSON
โ
โ Object-Oriented Programming (OOP) โ Classes, Objects, Inheritance, Polymorphism
โ
โ Error Handling & Debugging โ Try-Except, Logging, Debugging Techniques
โ
โ Advanced Topics โ Regular Expressions, Multi-threading, Decorators, Generators
Free Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
ENJOY LEARNING ๐๐
Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) ๐
Here are 8 FREE courses to master AI in 2024:
1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118
2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/
3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
4. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
5. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/
Here are 8 FREE courses to master AI in 2024:
1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118
2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/
3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
4. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
5. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/
Forwarded from SQL Programming Resources
๐ช๐ฒ๐ฏ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐
Want to master web development? These free certification courses will help you build real-world full-stack skills:
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Essential Skills to Master for Using Generative AI
1๏ธโฃ Prompt Engineering
โ๏ธ Learn how to craft clear, detailed prompts to get accurate AI-generated results.
2๏ธโฃ Data Literacy
๐ Understand data sources, biases, and how AI models process information.
3๏ธโฃ AI Ethics & Responsible Usage
โ๏ธ Know the ethical implications of AI, including bias, misinformation, and copyright issues.
4๏ธโฃ Creativity & Critical Thinking
๐ก AI enhances creativity, but human intuition is key for quality content.
5๏ธโฃ AI Tool Familiarity
๐ Get hands-on experience with tools like ChatGPT, DALLยทE, Midjourney, and Runway ML.
6๏ธโฃ Coding Basics (Optional)
๐ป Knowing Python, SQL, or APIs helps customize AI workflows and automation.
7๏ธโฃ Business & Marketing Awareness
๐ข Leverage AI for automation, branding, and customer engagement.
8๏ธโฃ Cybersecurity & Privacy Knowledge
๐ Learn how AI-generated data can be misused and ways to protect sensitive information.
9๏ธโฃ Adaptability & Continuous Learning
๐ AI evolves fastโstay updated with new trends, tools, and regulations.
Master these skills to make the most of AI in your personal and professional life! ๐ฅ
Free Generative AI Resources: https://whatsapp.com/channel/0029VazaRBY2UPBNj1aCrN0U
1๏ธโฃ Prompt Engineering
โ๏ธ Learn how to craft clear, detailed prompts to get accurate AI-generated results.
2๏ธโฃ Data Literacy
๐ Understand data sources, biases, and how AI models process information.
3๏ธโฃ AI Ethics & Responsible Usage
โ๏ธ Know the ethical implications of AI, including bias, misinformation, and copyright issues.
4๏ธโฃ Creativity & Critical Thinking
๐ก AI enhances creativity, but human intuition is key for quality content.
5๏ธโฃ AI Tool Familiarity
๐ Get hands-on experience with tools like ChatGPT, DALLยทE, Midjourney, and Runway ML.
6๏ธโฃ Coding Basics (Optional)
๐ป Knowing Python, SQL, or APIs helps customize AI workflows and automation.
7๏ธโฃ Business & Marketing Awareness
๐ข Leverage AI for automation, branding, and customer engagement.
8๏ธโฃ Cybersecurity & Privacy Knowledge
๐ Learn how AI-generated data can be misused and ways to protect sensitive information.
9๏ธโฃ Adaptability & Continuous Learning
๐ AI evolves fastโstay updated with new trends, tools, and regulations.
Master these skills to make the most of AI in your personal and professional life! ๐ฅ
Free Generative AI Resources: https://whatsapp.com/channel/0029VazaRBY2UPBNj1aCrN0U
Rise_of_Generative_AI_and_ChatGPT.pdf
5.2 MB
Rise of Generative AI and ChatGPT
Utpal Chakraborty, 2023
Utpal Chakraborty, 2023
Forwarded from Artificial Intelligence
๐๐ฒ๐ฎ๐ฟ๐ป ๐ก๐ฒ๐ ๐ฆ๐ธ๐ถ๐น๐น๐ ๐ณ๐ผ๐ฟ ๐๐ฅ๐๐ & ๐๐ฎ๐ฟ๐ป ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ๐!๐
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Looking to upgrade your skills in Data Science, Programming, AI, Business, and more? ๐๐ก
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Companies Hiring:- Revvity
Role:- Data Analyst Intern
Location:- Mumbai
Qualification:- Students/Graduates
๐๐ฝ๐ฝ๐น๐ ๐๐ถ๐ป๐ธ๐:-
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Apply before the link expires ๐ซ
Companies Hiring:- Revvity
Role:- Data Analyst Intern
Location:- Mumbai
Qualification:- Students/Graduates
๐๐ฝ๐ฝ๐น๐ ๐๐ถ๐ป๐ธ๐:-
https://pdlink.in/4inM7qo
Apply before the link expires ๐ซ
๐งญ Roadmap to Learn Generative AI (2025 Edition)
1. Master Python Programming (1 Month)
Learn basic syntax, data structures, and object-oriented programming.
Practice with libraries like NumPy, pandas, and Matplotlib.
Understand how to build simple applications using Python.
2. Understand Machine Learning Fundamentals (1 Month)
Grasp core concepts like supervised, unsupervised learning, and reinforcement learning.
Study algorithms such as linear regression, decision trees, k-means clustering, etc.
Learn about model evaluation metrics.
3. Dive into Deep Learning (1 Month)
Explore neural networks and architectures such as Feedforward Neural Networks (FNN), CNN, and RNN.
Learn about backpropagation, activation functions, and optimization techniques.
4. Grasp Generative Models (1 Month)
Study Autoencoders (AEs), Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).
Understand how these models generate new data by learning from existing data.
5. Explore Natural Language Processing (NLP) (1 Month)
Learn about text preprocessing, embeddings, and sequence models.
Study the transformers architecture and attention mechanisms.
Understand how models like GPT and BERT work.
6. Engage with Generative AI Tools (1 Month)
Get hands-on with frameworks like Hugging Face for pre-trained models.
Learn to fine-tune models and build generative applications using these tools.
7. Work on Real-World Projects (Ongoing)
Apply your skills by developing projects such as chatbots, content generators, or image generators.
Continuously work on open-source projects or participate in competitions to improve your skills.
8. Join the AI Community (Ongoing)
Engage in forums, attend webinars, and follow AI researchers.
๐ Suggested 6-Month Learning Plan
Month 1: Python Programming
Month 2: Machine Learning Fundamentals
Month 3: Deep Learning Basics
Month 4: Generative Models
Month 5: Natural Language Processing
Month 6: Generative AI Tools & Real-World Projects
1. Master Python Programming (1 Month)
Learn basic syntax, data structures, and object-oriented programming.
Practice with libraries like NumPy, pandas, and Matplotlib.
Understand how to build simple applications using Python.
2. Understand Machine Learning Fundamentals (1 Month)
Grasp core concepts like supervised, unsupervised learning, and reinforcement learning.
Study algorithms such as linear regression, decision trees, k-means clustering, etc.
Learn about model evaluation metrics.
3. Dive into Deep Learning (1 Month)
Explore neural networks and architectures such as Feedforward Neural Networks (FNN), CNN, and RNN.
Learn about backpropagation, activation functions, and optimization techniques.
4. Grasp Generative Models (1 Month)
Study Autoencoders (AEs), Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).
Understand how these models generate new data by learning from existing data.
5. Explore Natural Language Processing (NLP) (1 Month)
Learn about text preprocessing, embeddings, and sequence models.
Study the transformers architecture and attention mechanisms.
Understand how models like GPT and BERT work.
6. Engage with Generative AI Tools (1 Month)
Get hands-on with frameworks like Hugging Face for pre-trained models.
Learn to fine-tune models and build generative applications using these tools.
7. Work on Real-World Projects (Ongoing)
Apply your skills by developing projects such as chatbots, content generators, or image generators.
Continuously work on open-source projects or participate in competitions to improve your skills.
8. Join the AI Community (Ongoing)
Engage in forums, attend webinars, and follow AI researchers.
๐ Suggested 6-Month Learning Plan
Month 1: Python Programming
Month 2: Machine Learning Fundamentals
Month 3: Deep Learning Basics
Month 4: Generative Models
Month 5: Natural Language Processing
Month 6: Generative AI Tools & Real-World Projects
Forwarded from Artificial Intelligence
๐ฃ๐ผ๐๐ฒ๐ฟ๐๐ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฟ๐ผ๐บ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐๐
โ Beginner-friendly
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Perfect for beginners, job seekers, & Working Professionals
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โ Beginner-friendly
โ Straight from Microsoft
โ And yesโฆ a badge for that resume flex
Perfect for beginners, job seekers, & Working Professionals
๐๐ข๐ง๐ค ๐:-
https://pdlink.in/4iq8QlM
Enroll for FREE & Get Certified ๐