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AI Basics

Introduction to AI, machine learning, and modern AI tools for practical applications. Learn to build intelligent systems that solve real-world problems.

3-6 monthsBeginner → IntermediateAI Lab Ready
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AI & Machine Learning Stack

Master the essential tools and frameworks for building intelligent systems

Python Fundamentals

  • Python basics - Variables, functions, loops
  • NumPy - Numerical computing library
  • Pandas - Data manipulation and analysis
  • Matplotlib - Data visualization

Machine Learning

  • Scikit-learn - ML algorithms and tools
  • Data preprocessing - Cleaning and preparation
  • Model training - Supervised and unsupervised
  • Model evaluation - Metrics and validation

AI & NLP

  • OpenAI API - GPT models integration
  • LangChain - LLM application framework
  • LangGraph - Workflow automation
  • Chatbot development - Conversational AI

Generative AI

  • ChatGPT - Text generation and completion
  • Gemini - Google's AI model
  • AI Ethics - Responsible AI practices
  • Prompt Engineering - Effective AI communication

AI Projects Portfolio

Build intelligent systems that demonstrate your AI capabilities

Spam Detector

Beginner

Build an AI system to classify emails as spam or legitimate

Key Features:

  • Data preprocessing
  • Feature extraction
  • Model training
  • Accuracy evaluation
2-3 weeks

Intelligent Chatbot

Intermediate

Create a conversational AI assistant using modern NLP techniques

Key Features:

  • Natural language processing
  • Context awareness
  • Response generation
  • Integration with APIs
4-5 weeks

Recommendation System

Intermediate

Develop a system that suggests products or content to users

Key Features:

  • Collaborative filtering
  • Content-based filtering
  • User behavior analysis
  • Performance optimization
3-4 weeks

Real AI Project

Professional

Work on actual AI projects with Afghan Geeks AI Lab

Key Features:

  • Client requirements
  • AI model deployment
  • Performance monitoring
  • Production integration
6-8 weeks

24-Week AI Journey

From Python basics to advanced AI applications

1

Python for AI

Week 1-3

Master Python programming for AI and data science

Topics Covered:

Python basicsData structuresNumPy arraysPandas dataframes
2

Data Science Fundamentals

Week 4-6

Learn data manipulation and visualization techniques

Topics Covered:

Data cleaningExploratory analysisVisualizationStatistical concepts
3

Machine Learning Basics

Week 7-10

Introduction to supervised and unsupervised learning

Topics Covered:

Classification algorithmsRegression modelsClustering techniquesModel evaluation
4

Natural Language Processing

Week 11-14

Build AI systems that understand and generate text

Topics Covered:

Text preprocessingTokenizationWord embeddingsSentiment analysis
5

Modern AI Tools

Week 15-18

Work with cutting-edge AI platforms and APIs

Topics Covered:

OpenAI integrationLangChain frameworkPrompt engineeringAI ethics
6

AI Lab Projects

Week 19-24

Join Afghan Geeks AI Lab for real-world projects

Topics Covered:

Client AI solutionsModel deploymentPerformance optimizationAI strategy consulting

What You'll Achieve

Intermediate graduates join Afghan Geeks' AI pool for real-world chatbot/AI projects.

AI Specialist

Build intelligent systems and chatbots

AI Lab Member

Join Afghan Geeks AI Lab for real projects

Future-Ready

Master cutting-edge AI technologies

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