Intro to AI: A Beginner's Guide to Artificial Intelligence

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365 Careers

2:27:16

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1 - Getting started

1 - Intro-to-AI-Course-notes.pdf

1 - Natural vs Artificial Intelligence.mp4

02:07

2 - Brief history of AI.mp4

04:41

3 - Demystifying AI Data science Machine learning and Deep learning.mp4

02:27

4 - Weak vs Strong AI.mp4

02:43

2 - Data is essential for building AI

5 - Structured vs unstructured data.mp4

01:47

6 - How we collect data.mp4

04:02

7 - Labelled and unlabelled data.mp4

02:06

8 - Metadata Data that describes data.mp4

01:42

3 - Key AI technique

9 - Machine learning.mp4

05:26

10 - Supervised Unsupervised and Reinforcement learning.mp4

05:35

11 - Deep learning.mp4

08:27

4 - Important AI branches

12 - Robotics.mp4

04:35

13 - Computer vision.mp4

04:34

14 - Traditional ML.mp4

01:19

15 - Generative AI.mp4

04:05

5 - Understanding Generative AI

16 - The rise of Gen AI Introducing ChatGPT.mp4

02:09

17 - Early approaches to Natural Language Processing NLP.mp4

02:42

18 - Recent NLP advancements.mp4

03:01

19 - From Language Models to Large Language Models LLMs.mp4

06:11

20 - The efficiency of LLM training Supervised vs Semisupervised learning.mp4

03:35

21 - From NGrams to RNNs to Transformers The Evolution of NLP.mp4

05:22

22 - Phases in building LLMs.mp4

04:40

23 - Prompt engineering vs Finetuning vs RAG Techniques for AI optimization.mp4

04:24

24 - The importance of foundation models.mp4

02:50

25 - Buy vs Make foundation models vs private models.mp4

02:36

6 - Practical challenges in Generative AI

26 - Inconsistency and hallucination.mp4

02:43

27 - Budgeting and API costs.mp4

02:58

28 - Latency.mp4

01:26

29 - Running out of data.mp4

02:25

7 - The AI tech stack

30 - Python programming.mp4

02:07

31 - Working with APIs.mp4

01:35

32 - Vector databases.mp4

03:11

33 - The importance of open source.mp4

06:11

34 - Hugging Face.mp4

01:47

35 - Hugging Face.mp4

02:54

36 - AI evaluation tools.mp4

03:07

8 - AI job positions

37 - AI strategist.mp4

05:08

38 - AI developer.mp4

04:27

39 - AI engineer.mp4

03:53

9 - Looking ahead

40 - AI ethics.mp4

05:39

41 - Future of AI.mp4

04:39

Description

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

Who is this for?

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

What You Need to Know?

No prior experience is required. We will start from the very basics

More details

Description
Are you interested in exploring the exciting world of AI and mastering the fundamentals to unlock its full potential?
If thatâ€™s the case, youâ€™ve come to the right place!
This Intro to AI course begins with the fundamentalsâ€”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. Youâ€™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 AIâ€™s career and business opportunities and leverages its transformative power.
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 youâ€™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 conceptsâ€”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.
Who this course is for:
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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365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 2,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings. Currently, 365 focuses on the following topics on Udemy: 1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook5) Blockchain for BusinessAll of our courses are: - Pre-scripted - Hands-on - Laser-focused - Engaging - Real-life tested By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur365 Careers’ courses are the perfect place to start.

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