Intro to AI

Name: Intro to AI course
Price: 36 USD

with Ned Krastev

4.9/5

(607)

This AI fundamentals course is the perfect introduction to the field. Gain an overall understanding of AI and learn the intuition behind today's state of the art artificial intelligence models

2 hours of content 8432 students

$99.00

Lifetime access

Buy now

14-Day Money-Back Guarantee

What you get:

2 hours of content
28 Interactive exercises
1 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

Intro to AI

A course by Ned Krastev

$99.00

Lifetime access

Buy now

14-Day Money-Back Guarantee

What you get:

2 hours of content
28 Interactive exercises
1 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

$99.00

Lifetime access

Buy now

14-Day Money-Back Guarantee

What you get:

2 hours of content
28 Interactive exercises
1 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

What You Learn

Acquire a high-level understanding of AI fundamentals
Understand how AI and machine learning create business value
Become familiar with key AI terms and concepts
Learn the intuition behind state of the art AI methods
Comprehend the technical tools AI engineers and developers use on the job
Distinguish different AI job positions and career opportunities in the field

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course 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. What sets this AI course apart from other online offerings? 1. Production Quality Our 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 Excellence Ned 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 Animations Our courses utilize storytelling and high-quality animations to help internalize AI concepts—far surpassing simple PowerPoint presentations. Interactive Exercises Our platform includes innovative interactive exercises that reinforce the lessons. This approach epitomizes learning by doing—making our Intro to AI course exceptionally practical. As usual, the course offers a 30-day money-back guarantee and promises to transform your career with coveted AI skills.

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1.1 Natural vs Artificial Intelligence

2 min

1.2 Brief history of AI

5 min

1.3 Demystifying AI, Data science, Machine learning, and Deep learning

2 min

1.4 Weak vs Strong AI

3 min

2.1 Structured vs unstructured data

2 min

2.2 How we collect data

4 min

Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Curriculum

1. Welcome to the course

4 Lessons 12 Min

Discover how human intelligence inspired computer scientists to develop artificial intelligence. This introduction explores the historical milestones leading to today's advanced models. Learn the connections between data science, machine learning, deep learning, and AI.

Natural vs Artificial Intelligence
2 min
Brief history of AI
5 min
Demystifying AI, Data science, Machine learning, and Deep learning
2 min
Weak vs Strong AI
3 min
2. Data is the key ingredient for building AI

4 Lessons 10 Min

Data forms the backbone of robust AI models. Explore classifying various data types and distinguishing between structured and unstructured data, as well as labeled and unlabeled data. Relying on metadata is crucial in a world of expanding databases and volumes.

Structured vs unstructured data
2 min
How we collect data
4 min
Labeled and unlabeled data
2 min
Metadata: Data that describes data
2 min
3. Key AI techniques

3 Lessons 19 Min

To grasp AI, we first must understand machine learning and its core subfields: supervised, unsupervised, and reinforcement learning. This foundation prepares us to explore deep learning—a crucial machine learning type inspired by human brain neurons.

Machine learning
5 min
Supervised, Unsupervised, and Reinforcement learning
6 min
Deep learning
8 min
4. Important AI branches

4 Lessons 15 Min

This section explores AI’s critical subfields: Robotics, Computer Vision, Traditional ML applications, and Generative AI. Learn about the use cases of each type of AI and the trends expected to shape these areas.

Robotics
5 min
Computer vision
5 min
Traditional ML
1 min
Generative AI
4 min
5. Understanding Generative AI

10 Lessons 38 Min

Generative AI—a rapidly growing sub-field—has received the most significant investment since ChatGPT's launch in late 2022. Explore the core principles of Gen AI and the key challenges AI scientists overcame to develop today's sophisticated models. Learn to differentiate between foundation models and LLMs and understand the stages of building an LLM.

The rise of Gen AI: Introducing ChatGPT
2 min
Early approaches to Natural Language Processing (NLP)
3 min
Recent NLP advancements
3 min
From Language Models to Large Language Models (LLMs)
6 min
The efficiency of LLM training. Supervised vs Semi-supervised learnin
4 min
From N-Grams to RNNs to Transformers: The Evolution of NLP
5 min
Phases in building LLMs
5 min
Prompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization
4 min
The importance of foundation models
3 min
Buy vs Make: foundation models vs private models
3 min
6. Practical challenges in Generative AI

4 Lessons 9 Min

To harness Gen AI's potential, we must understand its current limitations. This section examines critical challenges AI engineers face—including inconsistency, hallucinations, budgeting, latency, and limited training data.

Inconsistency and hallucination
3 min
Budgeting and API costs
3 min
Latency
1 min
Running out of data
2 min
7. The AI tech stack

7 Lessons 21 Min

Python programming
2 min
Working with APIs
2 min
Vector databases
3 min
Open source models
6 min
Hugging Face
2 min
Langchain
3 min
AI evaluation tools
3 min
8. AI job positions

3 Lessons 13 Min

AI strategist
5 min
AI developer
4 min
AI engineer
4 min
9. Looking ahead

2 Lessons 11 Min

AI ethics
6 min
Future of AI
5 min

Topics

Artificial IntelligenceNeural NetworksTransformersmachine learningDeep Learning

Tools & Technologies

Course Requirements

No experience is required. We'll start from the basics and build your understanding step by step. The course includes everything you need

Who Should Take This Course?

Level of difficulty: Beginner

Aspiring AI Engineers and developers
Business stakeholders aiming to leverage AI
Anyone interested in understanding and harnessing AI's disruptive potential

Exams and Certification

A 365 Financial Analyst Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Meet Your Instructor

Ned Krastev

CEO at

23 Courses

33770 Reviews

393316 Students

Nedko earned a Master’s degree in Finance from Bocconi University (Milan, Italy) in 2012. Then, he gained valuable working experience with exciting firms like PwC Italy (Financial Advisory and M&A), Coca-Cola European Partners (Financial Analyst), and Infineon Technologies (M&A). In 2014, he published his first online course on financial modeling and valuation when he realized that creating educational materials is his true calling. The amazing students and content creators in the data science community, the 365 team, and the strong desire to build the perfect learning platform drive Nedko to continue on this exciting journey. His goal is to establish 365 Data Science as the learning platform that bridges the gap between theoretical knowledge and practical business application.