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YouTube Channels Blog Websites
3Blue1Brown: Visual math explanations, including AI concepts.
Dirk Zee: Tutorials and guides on AI and machine learning
CS Dojo: Coding tutorials with a focus on Python and AI
Analytics Vidhya: AI and data science tutorials
Two Minute Papers: Concise AI research summaries
Sentdex: Machine learning tutorials and projects
Corey Schafer: Python tutorials, including AI applications
Alex The Analyst: Data analytics with insights into AI
Matt Wolfe: AI tools and use cases explained
Data Science Dojo: AI and machine learning simplified
Abhishek Thakur: Tips from a Kaggle grandmaster
Lex Fridman: AI, robotics, and philosophy
StatQuest with Josh Starmer: Simplified machine learning concepts
Websites for Datasets
Kaggle: Public datasets for machine learning projects.
UCI Machine Learning Repository: Benchmark datasets for AI research
OpenML: Collaborative machine learning datasets
Google Cloud AI Platform Datasets: Scalable data for AI experiments.
Microsoft Azure Open Datasets: Ready-to-use datasets for analysis
Amazon SageMaker Open Data Registry: Open datasets for training AI models
Papers with Code: Datasets linked to research papers. Hugging Face Datasets: NLP-focused datasets for deep learning
OpenMLDB: Machine learning-friendly datasets
MachineHack Datasets: AI competition datasets for skillbuilding
Courses from Google
AI for Everyone: Introduction to AI for non-technical learners
Machine Learning Crash Course: Google’s hands-on machine learning training
Elements of Artificial Intelligence: Comprehensive AI basics
Building TensorFlow Lite Applications: Practical TensorFlow applications
Introduction to TensorFlow: AI, machine learning, and deep learning basics.
Fundamentals of Reinforcement Learning: Learn AI-driven decision-making
Generative Adversarial Networks (GANs): Understand image generation
Natural Language Processing with TensorFlow: Build text-based AI models
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Websites for Courses
mygreatlearning com: Free courses on AI fundamentals classcentral com: Aggregates free and paid online AI courses dirkzee.com: Comprehensive AI learning guides and manuals simplilearn.com: AI career-focused certifications. edx.org: University-level AI courses freecodecamp.org: Programming and machine learning basics udacity.com: AI and machine learning nanodegrees deeplearning ai: Advanced courses on AI and neural networks ai google: Free Google AI learning resources pll harvard edu: Harvard's free online AI courses
coursera.org: Wide range of AI courses from top universities
Courses from Microsoft
AI for Beginners: Basics of AI with real-world examples
Introduction to Artificial Intelligence: Core AI concepts explained Azure AI Fundamentals: Learn to use AI on Microsoft Azure Machine Learning for Beginners: Introductory course on ML techniques
Responsible AI: Build AI systems ethically Transform Your Business with AI: Use AI for strategic business growth
Career Essentials in Generative AI: Master generative AI applications
Building AI Solutions on Azure: Practical AI solution development.
Azure Machine Learning Essentials: Comprehensive training on Microsoft Azure ML tools Save for later
HOW TO CREATE AI AGENTS USING CLAUDE
Integrate SmythOS into the Conversation
SET UP THE PROJECT
Create a new project environment and install all required libraries (e g , OpenAI API, SmythOS integration SDK)
Tools: IDEs like Visual Studio Code or PyCharm
Tips: Set up a virtual environment to manage dependencies
IMPLEMENT A CHATBOT INTERFACE (OPTIONAL)
Build a user-facing interface to interact with the AI
Options: Simple CLI-based interaction
Advanced GUI using frameworks like Flask or React
INTEGRATE CUSTOM TOOLS INTO THE CONVERSATION
Make the tools accessible during user interactions
Define tool functions
Map these functions within Claude’s context
TEST THE FUNCTIONALITY
Perform extensive testing to ensure smooth operation
Testing Areas: Response accuracy
Integration stability
User experience
Tools: Automated testing frameworks like PyTest or Postman
CREATE THE BASIC API CALL
Write the initial code to connect to Claude’s API. Obtain API keys
Test basic prompt-response
functionality
Tips: Use a JSON structure for streamlined API calls
DEFINE CUSTOM TOOLS
Customize Claude’s abilities to fit your specific requirements
Examples:
Integrate database search capabilities
Build custom data parsers
Tips: Use modular functions for scalability.
INTEGRATE SMYTHOS INTO THE CONVERSATION
Add SmythOS to manage workflows, tool triggers, and more
Features:
Workflow automation
Data aggregation.
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