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.
65 Lectures | 16hr : 23min
8 Lectures
What is Deep Learning
Deep Learning vs Statistical Machine Learning: When to use What?
Credits Scoring to ChatGPT: Overview of Neural Network Architectures
Tooling for Deep Learning
Bank Employee To AI Engineer: Transition Story
Task: Get Engagement by Sharing an AI Learning Resource
Takeaways & Jargons
Quiz
15 Lectures
10 Stages of AI Project Lifecycle
Requirements and Scope of Work (SOW)
Data Collection
Data Preparation & Exploratory Data Analysis
Feature Engineering
Model Selection & Training
Model Evaluation Metrics (Accuracy, Prediction, Recall & F1 Score)
Model Evaluation Metrics: When to use which Metric?
Model Fine Tuning
Model Deployment
Deployment & Monitoring Using ML Ops
Online Credibility: Engage Meaningfully
Task: Post About AI/ML Project Steps
Takeaways & Jargons
Quiz
11 Lectures
What is Generative AI (or Gen AI)?
Evolution of Gen AI Models
What is LLM? Analogy Based Simple Explanation
What is NLP?
Embeddings and Vector Database
Retrieval Augmented Generation (RAG)
Prompt Engineering
Tooling for Gen AI, LLM
Task: Share Your Unique Perspectives on Gen AI
Takeaways & Jargons
Quiz
8 Lectures
Text Classification: Support Ticket Prioritization
Image Classification: Plant Health Monitoring System
RAG-Based Gen AI: ChatGPT for Private Organizational Data
Chatbot: Food Delivery Chatbot
Recommendation System: Book Recommendations
Task: Build a Case Study on a Company that leverages AI
Takeaways & Jargons
Quiz
6 Lectures
Intro: How to use this supplementary learning
Statistical ML Project: Build a House Prediction System
Deep Learning Project: Build a Potato Disease Classification System
NLP Project: Build a chatbot using Dialog Flow
Gen AI Project: Build a Q & A system in retail domain
Gen AI Project: Build a news research tool in finance domain
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).
People who are already working in the data science / AI space and have a strong understanding of fundamentals and career opportunities.
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.
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.
Yes, this course is useful for technical and non-technical AI jobs. It shows coding in few areas to give a perspective.
No technical prerequisites are required to take this course. This course teaches you the fundamentals of AI.
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.
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)
If you don't see the tremendous value you expected in our product, and you wish to withdraw within 7 days and less than 50% of course completion, we will proceed with a 100% refund to your original payment mode - no questions asked.
Between 8 - 30 days and less than 50% of course completion, the refund will be in the form of a Scholarship code which you can gift or share with your friend.
However, once you have attended more than 30 days from the date of registration or completed more than 50% of the course, you will not be eligible for any refund.
Simply write to [email protected] for refund requests, it will be processed withing 2 working days from our end. Depending upon the bank/mode of payment – it might take up to 7 working days to reflect on your account.
No, the access is available for 2 years.
You can use our private discord channel for daily chat support & networking.
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.
Yes, adding the learnings from this course along with certificate will add weight to you resume
The sessions are recorded, so it is self-paced.
Yes, there will be periodical updates to this course which you can enjoy until your course validity period.
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
This course uses a project-based learning approach to teach you Python using two real-life projects (1) Hospitality domain data analysis and (2) Medical data extraction. Learning Python programming through projects helps you understand real-life applications of this awesome programming language. You will also have two solid projects that you can add to your resume and you work on end-to-end implementation. Total beginners, as well as people familiar with the language, will benefit from this Python course.
Learn the key concepts of Math and Statistics that lay the foundations for a strong data science career. This course is carefully curated to simulate real-time organizational experience to prepare you for the current job market and at the same time provides you with an ultimate learning experience through storytelling and intuitive explanations.
/164231/courses/the_ultimate_AI_ourse_for_everyone.webp)
16hr : 23min on-demand video
65 Lectures
6 Practice Business Scenarios with Solution
7 Quizzes
Access on any Device
Certificate of completion
2 Years Validity
Learning knows no limits. Here’s to your journey of seamless learning. Pick your preferred course from the list of paid & free resources.
Quick Link
Help & Support
/308538/Updated%20Courses%20Thumbnails/Python-Thumbnail_1000.webp)
/308538/Updated%20Courses%20Thumbnails/Math-_-Stats_Thumbnail_1000.webp)
Log in with Google
Log in with Linkedin