Intro To Ai: A Beginner'S Guide To Artificial Intelligence



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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