Free Download AI in A Weekend Unlock the Future [2024]
Published 10/2024
Created by Omer Celik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 132 Lectures ( 6h 55m ) | Size: 3.64 GB
Learn AI, Machine Learning, Deep Learning, Neural Networks and more in a weekend! No coding or tech background needed!
What you'll learn
Comprehensive understanding of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) concepts
How Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) differ from one another
Natural Language Processing (NLP)
Deep Learning and Neural Networks
Large Language Models (LLM)
Artificial Neural Networks (ANN)
Transformer Architecture
Convolutional Neural Networks (CNN)
ChatGPT, BERT, CoPilot, Gemini
Recurrent Neural Networks (RNN)
Machine Learning (ML) Algorithms
Long Short-term Memory Networks (LSTM)
Classification, Regression, and Clustering
Reinforcement Learning Algorithms
Cloud Applications of AI
Association Rule Learning Algorithms
Real-life Applications of AI, ML, and DL
Risks of AI
Ethical AI
Requirements
No technical background needed
No coding experience needed.
No math knowledge needed.
Description
Welcome to our comprehensive course on Artificial Intelligence! You will dive into the world of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), Data Science, and cutting-edge AI technologies such as Generative AI, ChatGPT, LSTM, and Transformers. Designed for learners of all levels, this course covers the fundamental principles and advanced techniques that power modern AI applications.In this course, you will explore:Artificial Intelligence: Understand the basics of AI and its impact on industries, careers, and everyday life.Machine Learning: Learn about supervised, semi-supervised, unsupervised, and reinforcement learning techniques, including regression, classification, and clustering models, along with practical applications from data science such as computer vision, Deep Learning: Explore Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-term Memory Networks (LSTM), mastering concepts like perceptron, backpropagation, gradient descent, and more.Natural Language Processing (NLP): Discover how machines understand and generate human language, from Bag of Words to advanced transformer models and NLP applications.Large Language Models (LLM): Gain insights into the powerful models behind AI text generation, prompt engineering, and fine-tuning for domain-specific applications.Emerging AI Technologies: Stay ahead with the latest developments in cloud AI, generative AI, ChatGPT, CoPilot, Gemini, Autoencoders, Self-Organizing Maps, Boltzmann Machines, and more.Whether you're a beginner looking to start your AI journey or an experienced professional aiming to deepen your knowledge, this course will equip you with the skills and tools to succeed in the ever-evolving field of artificial intelligence. By the end of the course, you'll be able to understand AI/ML models, understand large-scale NLP systems, and leverage cloud computing to power your AI solutions!No technical, coding or math background is needed!Complex topics are broken into digestible lessons, helping people from all backgrounds understand AI core principles and applications.I can't wait to see you in the course!Omer
Who this course is for
Anyone from any background.
Anyone interested in learning Artificial Intelligence, Machine Learning and Deep Learning concepts.
Any professional who wants to add value to themselves, their job and their business.
Any leader, manager and c-suite executive looking to upskill in emerging technologies like AI, ML and DL.
Anyone who is not comfortable with coding but is interested in emerging technologies like AI, ML and DL.
Anyone who wants to be valuable in job market with AI, ML and DL knowledge
Anyone looking for a new career in Artificial Intelligence and Machine Learning field.
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