{"id":3,"count":6,"description":"<strong>Learn Artificial Intelligence (AI)<\/strong> from scratch. Our Free AI course covers topics including Machine Learning, Deep Learning, NLP, and AI applications. Master Python, Neural Networks, and AI model deployment with hands-on projects.\r\n<h2>Module 1: <a href=\"https:\/\/buhave.com\/courses\/ai\/introduction-to-artificial-intelligence-ai\/\">Introduction to Artificial Intelligence<\/a> (Week 1-2)<\/h2>\r\n<strong>Topics Covered:<\/strong>\r\n\r\n1- What is AI? History &amp; Evolution\r\n2- Types of AI: Narrow AI, General AI, Super AI\r\n3- AI vs. Machine Learning vs. Deep Learning\r\n4- Applications of AI in Real-World Industries\r\n5- Ethical Considerations in AI\r\n6- Hands-on Practice:\r\n\r\nInstall Python &amp; AI libraries (NumPy, Pandas, Matplotlib)\r\nExplore basic AI applications like chatbots &amp; recommendation systems\r\n<h2>Module 2: <a href=\"https:\/\/buhave.com\/courses\/ai\/mathematics-for-ai\/\">Mathematics for AI<\/a> (Week 3-4)<\/h2>\r\n<strong>Topics Covered:<\/strong>\r\n\r\n1- Linear Algebra: Vectors, Matrices, Eigenvalues\r\n2- Probability &amp; Statistics: Bayes Theorem, Probability Distributions\r\n3- Calculus for AI: Derivatives, Gradients\r\n4- Optimization Techniques: Gradient Descent, Loss Functions\r\n5- Hands-on Practice:\r\n\r\nImplement Linear Algebra operations using Python (NumPy)\r\nVisualize probability distributions using Matplotlib &amp; Seaborn\r\n<h2>Module 3: <a href=\"https:\/\/buhave.com\/courses\/ai\/machine-learning-fundamentals\/\">Machine Learning Fundamentals<\/a> (Week 5-6)<\/h2>\r\n<strong>Topics Covered:<\/strong>\r\n\r\n1- Supervised vs. Unsupervised Learning\r\n2- Regression &amp; Classification Algorithms\r\n3- Decision Trees, Random Forest, Na\u00efve Bayes\r\n4- Clustering Techniques: K-Means, DBSCAN\r\n5- Feature Engineering &amp; Data Preprocessing\r\n6- Hands-on Practice:\r\n\r\nTrain a Linear Regression Model using scikit-learn\r\nImplement K-Means Clustering on real-world datasets\r\n<h2>Module 4: <a href=\"https:\/\/buhave.com\/courses\/ai\/deep-learning-and-neural-networks\/\">Deep Learning &amp; Neural Networks<\/a> (Week 7-8)<\/h2>\r\n<strong>Topics Covered:<\/strong>\r\n\r\n1- Introduction to Neural Networks &amp; Perceptrons\r\n2- Activation Functions: ReLU, Sigmoid, Softmax\r\n3- Backpropagation &amp; Gradient Descent\r\n4- Convolutional Neural Networks (CNNs)\r\n5- Recurrent Neural Networks (RNNs) &amp; Long Short-Term Memory (LSTMs)\r\n6- Hands-on Practice:\r\n\r\nBuild a Neural Network using TensorFlow\/Keras\r\nImplement an Image Classifier using CNN\r\n<h2>Module 5: <a href=\"https:\/\/buhave.com\/courses\/ai\/natural-language-processing-nlp\/\">Natural Language Processing (NLP)<\/a> (Week 9-10)<\/h2>\r\n<strong>Topics Covered:<\/strong>\r\n\r\n1- Basics of NLP: Tokenization, Stemming, Lemmatization\r\n2- Word Embeddings: Word2Vec, GloVe, Transformers\r\n3- Named Entity Recognition (NER)\r\n4- Sentiment Analysis &amp; Chatbot Development\r\n5- Hands-on Practice:\r\n\r\nPerform Text Sentiment Analysis using NLP libraries (spaCy, NLTK)\r\nBuild a Chatbot using OpenAI\u2019s GPT API\r\n<h2>Module 6: <a href=\"https:\/\/buhave.com\/courses\/ai\/ai-applications-and-advanced-topics\/\">AI Applications &amp; Advanced Topics<\/a> (Week 11-12)<\/h2>\r\n<strong>Topics Covered:<\/strong>\r\n\r\n1- Reinforcement Learning: Q-Learning, Deep Q Networks\r\n2- AI in Robotics &amp; Autonomous Systems\r\n3- Generative AI: GANs (Generative Adversarial Networks)\r\n4- Ethical AI &amp; Bias in Machine Learning\r\n5- Hands-on Practice:\r\n\r\nImplement AI for stock price prediction\r\nTrain a GAN to generate synthetic images\r\n<h2>Final Project &amp; Certification (Week 13-16)<\/h2>\r\n1- Develop a real-world AI project (e.g., AI assistant, self-learning chatbot, object detection system)\r\n2- Deploy your AI model using Flask, FastAPI, or Streamlit\r\n3- Present the project &amp; get certification upon completion\r\n<h3>Tools &amp; Libraries Used in This Course:<\/h3>\r\n<ul>\r\n \t<li><strong>Programming Language<\/strong>: Python<\/li>\r\n \t<li><strong>Libraries<\/strong>: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras<\/li>\r\n \t<li><strong>NLP Libraries<\/strong>: NLTK, spaCy, Hugging Face Transformers<\/li>\r\n \t<li><strong>Visualization Tools<\/strong>: Matplotlib, Seaborn<\/li>\r\n<\/ul>\r\nThis AI course provides structured learning, hands-on projects, and real-world applications. Learn AI from scratch online in just 3 months (12 weeks).","link":"https:\/\/buhave.com\/courses\/learn\/ai\/","name":"AI Course","slug":"ai","taxonomy":"category","parent":0,"meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Course | Learn AI for Free - BUHAVE<\/title>\n<meta name=\"description\" content=\"Artificial Intelligence (AI) Free course online. 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