AI for Everyone
This AI Course will teach you the fundamentals and know-hows of AI like it is taught to an 8-year-old and help you to align your career with AI. This will be helpful for anyone who wants to add “AI” in their resume with confidence and without learning to code necessarily.
No Experience
Needed
Start from scratch
and build up
Flexible
Schedule
Learn at your
own pace
Get
Job-Ready
Acquire essential
job skills
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This course includes:
- 16h:37m:39s on-demand video
- 67 Lectures
- 8 Quizzes
- Access on any Device
- Certificate of completion
No Experience Needed
Start from scratch
and build up
Flexible Schedule
Learn at your
own pace
Get Job-Ready
Acquire essential
job skills
What you'll learn in our AI for Everyone course?
-
AI fundamentals with memorable analogies
-
AI Know-hows with industry Use Cases
-
AI project-management steps
-
AI Career Options
-
How to add AI in your career
-
Building Online Credibility on LinkedIn
Course Curriculum
67 Lectures | 16h:37m:39s
3:
Demystify AI: Machine Learning
10 Lectures
-
3.1: What is Machine Learning
Free -
3.2: Classification vs Regression
Free -
3.3: Supervised vs Unsupervised Learning
Free -
3.4: ML Algorithms Overview
-
3.5: Tooling for ML
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3.6: Introduction: Building Your Online Credibility on LinkedIn
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3.7: Task: Register Your Voice on AI
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3.8: Do This to Get Max Out of This Course
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3.9: Takeaways & Jargons
-
3.10: Quiz
4:
Demystify AI: Deep Learning
8 Lectures
-
4.1: What is Deep Learning
Free -
4.2: Deep Learning vs Statistical Machine Learning: When to use What?
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4.3: Credits Scoring to ChatGPT: Overview of Neural Network Architectures
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4.4: Tooling for Deep Learning
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4.5: Bank Employee To AI Engineer: Transition Story
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4.6: Task: Get Engagement by Sharing an AI Learning Resource
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4.7: Takeaways & Jargons
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4.8: Quiz
5:
AI/ML Project Lifecycle
15 Lectures
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5.1: 10 Stages of AI Project Lifecycle
Free -
5.2: Requirements and Scope of Work (SOW)
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5.3: Data Collection
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5.4: Data Preparation & Exploratory Data Analysis
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5.5: Feature Engineering
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5.6: Model Selection & Training
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5.7: Model Evaluation Metrics (Accuracy, Prediction, Recall & F1 Score)
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5.8: Model Evaluation Metrics: When to use which Metric?
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5.9: Model Fine Tuning
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5.10: Model Deployment
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5.11: Deployment & Monitoring Using ML Ops
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5.12: Online Credibility: Engage Meaningfully
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5.13: Task: Post About AI/ML Project Steps
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5.14: Takeaways & Jargons
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5.15: Quiz
6:
Demystify AI: Gen AI, LLMs and NLP
11 Lectures
-
6.1: What is Generative AI (or Gen AI)?
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6.2: Evolution of Gen AI Models
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6.3: What is LLM? Analogy Based Simple Explanation
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6.4: What is NLP?
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6.5: Embeddings and Vector Database
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6.6: Retrieval Augmented Generation (RAG)
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6.7: Prompt Engineering
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6.8: Tooling for Gen AI, LLM
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6.9: Task: Share Your Unique Perspectives on Gen AI
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6.10: Takeaways & Jargons
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6.11: Quiz
7:
Data & AI
9 Lectures
-
7.1: The Role of Data in AI
Free -
7.2: Data Infrastructure in a Company
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7.3: Data Collection: Overview
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7.4: Data Storage and Transformation: Overview
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7.5: Data Distribution: Privacy, Ethics & Governance
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7.6: Online Credibility: Mental Model of Content Creation
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7.7: Task: Emphasize the Importance of Data in AI
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7.8: Takeaways & Jargons
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7.9: Quiz
8:
6 Industry Case Studies
9 Lectures
-
8.1: Text Classification: Support Ticket Prioritization
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8.2: Image Classification: Crop Yield Detection
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8.3: RAG-Based Gen AI: ChatGPT for Private Organizational Data
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8.4: Chatbot: Food Delivery Chatbot
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8.5: LLM Powered Real Estate Chatbot
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8.6: Recommendation System: Book Recommendations
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8.7: Task: Build a Case Study on a Company that leverages AI
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8.8: Takeaways & Jargons
-
8.9: Quiz
12:
Supplementary Learning (Industry Projects)
6 Lectures
-
12.1: Intro: How to use this supplementary learning
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12.2: Statistical ML Project: Build a House Prediction System
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12.3: Deep Learning Project: Build a Potato Disease Classification System
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12.4: NLP Project: Build a chatbot using Dialog Flow
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12.5: Gen AI Project: Build a Q & A system in retail domain
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12.6: Gen AI Project: Build a news research tool in finance domain
What our learners experience
Our content is rated 4.9/5 from 964+ Learners
The 'AI for Everyone' course by Codebasics offers a comprehensive and accessible introduction to AI. Instructor Dhaval Patel's expertise shines through in his clear explanations and engaging teaching style. The course strikes a great balance between theory and practical examples, making it suitable for beginners. Its structured approach covers everything from basic concepts to advanced topics like machine learning algorithms and neural networks. High-quality production values further enhance the learning experience, making it easy for learners to focus and master the material.
This course was one of the highly engaging course i have done . Was very useful in understanding the nuances though already i had some basic understanding. The Analogies used in the course are the highlights. I liked it very much. Looking for some advanced courses in AI.
"AI for Everyone: Your First Step Towards AI" is an excellent course for beginners who want to dip their toes into the exciting world of artificial intelligence. Dhaval Sir your clear explanations, practical exercises, and engaging content its really Great, this course provides a solid foundation for further exploration in the field of AI.
Its excellent course, designed for begineers. Who want to get overview of the AI concepts. Its a great course to kick start AI Journey. Thanks Dhaval :)
I just finished this AI course and it was amazing! I was really nervous at first because AI seemed so hard, but Dhaval sir made everything easy to understand. He breaks down difficult topics into simple, clear lessons, using practical examples that make learning fun and straightforward. His passion for teaching and deep knowledge of AI shine through in every class. Thanks to his incredible support and teaching style, I completed the course, which I never thought I could do. I highly recommend this course to anyone interested in AI. Dhaval sir, you made this journey unforgettable and truly exciting. Thank you!
System Requirements
- OS: Windows / MAC
- Memory: 4 GB or more (Recommended)
- Processor: 1 GHz or faster (Recommended)
- Display: 1440*900 or larger display resolution (Recommended)
- Web: Latest version of Safari, Chrome, Edge, or Firefox.
Course Instructors/Creators
Get Certified
When You Complete This Course
You receive a ‘Certificate of Completion’ signed and addressed personally by me, your guide and mentor. – Dhaval Patel
Add and share this certificate with your Resume/CV or on your LinkedIn profile.
Frequently Asked Questions
Q.1
What will I learn in this course?
You will get a thorough understanding of core concepts like Machine Learning, Deep Learning, Gen AI, LLM, NLP with the help of memorable analogies. You will get an insider view of how these concepts are used in AI projects along with the tools. Most importantly, you will know about different career paths in AI and how you can add AI into your career based on your background.
Q.2
What is different in this course compared to hundreds of courses on the internet and free tutorials on YouTube?
This course is designed and taught by Industry experts who work in AI projects. So, you are learning what exactly happens in the real industry. More importantly, the main instructor of this course Dhaval Patel is a popular YouTuber who is known for explaining complex topics in an easy-to-understand manner. So, you will be able to complete this course with a strong understanding of fundamentals.
This course also includes exclusive case studies and an online credibility module which helps you build your online presence on LinkedIn by optimizing your profile to suit the career path in AI.
Q.3
Once purchased, is this course available for lifetime access?
Yes, this course is available for lifetime access.
Q.4
What is the mode of learning?
The sessions are recorded, so it is self-paced.
Q.5
Will there be any updates to this course?
Yes, there will be periodical updates to this course which you can enjoy until your course validity period.
Q.1
Who can take this course?
Professionals who want to transition their career completely to AI and understand the fundamentals (Software Engineers, Product Managers, Data Analysts etc.)
Mid-level managers who want to enhance their career with AI without learning to code (Software Engineering managers, Product Managers, Sales executives, Marketing managers)
Top-level executives who want to get a clarity on AI buzz words to lead a better conversation (CXOs, VPs, Investors, Business Owners)
Freshers who want to understand the fundamentals of AI and get a clarity on which career path they need to select (CS graduates or anyone who are interested).
Q.2
Who should not take this course?
People who are already working in the data science / AI space and have a strong understanding of fundamentals and career opportunities.
Q.3
I have never done programming and belong to a non-technical background. Can I take this course?
Yes, this course is useful for technical and non-technical AI jobs. It shows coding in few areas to give a perspective.
Q.4
What are the things I need to know before starting this course?
No technical prerequisites are required to take this course. This course teaches you the fundamentals of AI.
Q.1
How will this course help me in my career?
Most of the jobs are already getting redefined by AI developments. It becomes critical for everyone to understand the fundamentals of AI, career opportunities and know how they can fit into it. This course will exactly help you with that.
Q.2
How can I get help if I have a doubt and need support?
You can use our private discord channel for daily chat support & networking.
Q.3
Will this course guarantee me a job or promotion?
No, we do not make any impractical practical promises like job guarantee. However, we can assure you that concepts covered in this course are relevant to the market and it will increase your chances of promotion or landing a job with regards to AI development in the market.
Q.1
I’m not sure if this course is good enough for me to invest some money. What can I do?
We understand that you could get confused before buying a course. To support your buying decision, we have provided all the necessary information and made several videos available for free. However, Codebasics is all about caring for the learner experience - if you think this course is not for you, you can get no questions asked refund (as per the policy, answered in the next question)
Q.2
Can I add this course to my resume?
Yes, adding the learnings from this course along with certificate will add weight to you resume
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This course includes:
- 16h:37m:39s on-demand videos
- 67 Lectures
- 8 Quizzes
- Access on any Device
- Certificate of completion
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