Intro To Ai: A Beginner'S Guide To Artificial Intelligence
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.33 GB | Duration: 2h 27m
Understand How AI Works and How to Leverage This Technology to Transform Your Business and Career
What you'll learn
Understand key Artificial Intelligence concepts and build a solid foundation
Skyrocket productivity using AI
Understand Generative AI and the underlying technology
Grasp the importance of AI ethics
Acquire an understanding of key AI tools
Become acquainted with the top job prospects in the AI field
Requirements
No prior experience is required. We will start from the very basics
Description
Are you interested in exploring the exciting world of AI and mastering the fundamentals to unlock its full potential?If that's the case, you've come to the right place!This Intro to AI course begins with the fundamentals-exploring the core components behind today's cutting-edge AI algorithms. Through this comprehensive journey, you'll establish a strong foundation and gain deep insights into AI's workings and applications in product development. You'll learn about various AI models and understand how businesses can leverage them effectively.Moreover, the course offers practical knowledge of AI development and integration into web applications and business products. Discover job opportunities in the rapidly growing AI field and comprehensively understand the essential tools needed for a lucrative career in this high-demand sector. This ideal AI introductory course suits those passionate about the field and eager to explore its potential. It offers valuable insights for business stakeholders and a strong foundation for anyone aiming to start a career in AI.Few industries will escape disruption from artificial intelligence and its significant technological innovations. Embrace AI to gain a competitive edge and lead your industry with its transformative power.Our Intro to AI course provides foundational AI knowledge and practical insights to seamlessly integrate AI into your workflow. Join the select group that grasps AI's career and business opportunities and leverages its transformative power.What sets this AI course apart from other online offerings?1. Production QualityOur dedicated team has invested thousands of hours in crafting an exceptional learning experience. We focus full-time on simplifying complex topics and designing an engaging Intro to AI course you'll enjoy.2. Instructor ExcellenceNed Krastev (CEO of 365 Data Science) has educated over 3 million students worldwide. His courses rank among the most popular online, and he has delivered training for Fortune 100 companies.3. Engaging AnimationsOur courses utilize storytelling and high-quality animations to help internalize AI concepts-far surpassing simple PowerPoint presentations. We are so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! It's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.What are you waiting for? Click the 'Buy Now' button and embrace the AI-driven future of tomorrow.
Overview
Section 1: Getting started
Lecture 1 Natural vs Artificial Intelligence
Lecture 2 Brief history of AI
Lecture 3 Demystifying AI, Data science, Machine learning, and Deep learning
Lecture 4 Weak vs Strong AI
Section 2: Data is essential for building AI
Lecture 5 Structured vs unstructured data
Lecture 6 How we collect data
Lecture 7 Labelled and unlabelled data
Lecture 8 Metadata: Data that describes data
Section 3: Key AI technique
Lecture 9 Machine learning
Lecture 10 Supervised, Unsupervised, and Reinforcement learning
Lecture 11 Deep learning
Section 4: Important AI branches
Lecture 12 Robotics
Lecture 13 Computer vision
Lecture 14 Traditional ML
Lecture 15 Generative AI
Section 5: Understanding Generative AI
Lecture 16 The rise of Gen AI: Introducing ChatGPT
Lecture 17 Early approaches to Natural Language Processing (NLP)
Lecture 18 Recent NLP advancements
Lecture 19 From Language Models to Large Language Models (LLMs)
Lecture 20 The efficiency of LLM training. Supervised vs Semi-supervised learning
Lecture 21 From N-Grams to RNNs to Transformers: The Evolution of NLP
Lecture 22 Phases in building LLMs
Lecture 23 Prompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization
Lecture 24 The importance of foundation models
Lecture 25 Buy vs Make: foundation models vs private models
Section 6: Practical challenges in Generative AI
Lecture 26 Inconsistency and hallucination
Lecture 27 Budgeting and API costs
Lecture 28 Latency
Lecture 29 Running out of data
Section 7: The AI tech stack
Lecture 30 Python programming
Lecture 31 Working with APIs
Lecture 32 Vector databases
Lecture 33 The importance of open source
Lecture 34 Hugging Face
Lecture 35 Hugging Face
Lecture 36 AI evaluation tools
Section 8: AI job positions
Lecture 37 AI strategist
Lecture 38 AI developer
Lecture 39 AI engineer
Section 9: Looking ahead
Lecture 40 AI ethics
Lecture 41 Future of AI
This course is for you if you want a great career,The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
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