What Order You Should Learn From My Udemy Course On Data Science And Generative AI

Summary

In this video, Krishak shares his gratitude for the overwhelming support and feedback on his affordable Udemy courses. He outlines the recommended order for learning his courses, starting with a comprehensive mathematics course, followed by data science, machine learning, and NLP boot camps. He also introduces a generative AI course. Krishak emphasizes the importance of foundational knowledge for smoother progress and announces upcoming courses on big data and AWS. Additionally, he will host free live sessions for his course participants starting next month.

Takeaways

• 😀 Krishak has uploaded 4-5 affordable Udemy courses and received positive feedback.
• 💼 Many successful career transition stories have emerged from the courses, which Krishak plans to share on LinkedIn.
• 💸 The courses are priced at INR 399 and will remain affordable for accessibility.
• 📚 The first course in the learning order is 'Mathematics: Basic to Advanced for Data Science and Generative AI.'
• 🔢 The mathematics course covers linear algebra, matrix multiplication, statistics, and differential calculus, with applications in data science.
• 📊 For data analysts, Krishak offers a 'Complete Data Analyst Bootcamp' covering Python, statistics, EDA, Power BI, SQL, and more.
• 🤖 Those interested in machine learning and NLP should take the 'Complete Machine Learning and NLP Bootcamp,' which is 92 hours long.
• 🧠 The 'Generative AI Course with LangChain and Hugging Face' covers generative AI and is 53.5 hours long.
• 🔜 Krishak is planning a 'Big Data Engineering' course in collaboration with another mentor, expected to launch in a month.
• 🎥 Starting next month, live sessions will be added for free to complement the courses.

Q & A

What kind of courses has Krishak uploaded on Udemy?

Krishak has uploaded four to five very affordable courses on Udemy, mainly focused on data science, machine learning, data analysis, and generative AI.

What feedback has Krishak received about his courses?

Krishak has received overwhelmingly positive feedback from students, including many successful career transition stories. He plans to share these stories on LinkedIn soon.

Why has Krishak kept the course price at ₹399?

Krishak wants to make the courses accessible to everyone, which is why he has kept the price at ₹399 and does not plan to increase it.

What is the first course Krishak recommends, and why?

The first course Krishak recommends is 'Mathematics: Basic to Advanced for Data Science and Generative AI.' It covers essential mathematical concepts like linear algebra, vectors, matrix multiplication, and their application in data science. This is especially useful for learners from non-technical backgrounds.

What topics are covered in the mathematics course?

The course covers topics such as linear algebra, vector transformations, matrix multiplication, PCA (Principal Component Analysis), statistics, and differential calculus. These topics are taught with a focus on how they are applied in data science and machine learning.

What course does Krishak recommend for aspiring data analysts?

Krishak recommends the 'Complete Data Analyst Bootcamp' for those interested in data analysis. The course covers Python, statistics, EDA (Exploratory Data Analysis), feature engineering, PowerBI, SQL Server, and soon Excel, ETL pipelines, and Tableau.

What is covered in the 'Complete Machine Learning and NLP Bootcamp' course?

The 'Complete Machine Learning and NLP Bootcamp' covers Python, machine learning, NLP (Natural Language Processing), MLOps, Docker, Git, end-to-end projects, deep learning, and transformers. The course is designed to take learners from basics to advanced topics.

What is included in the 'Complete Generative AI' course?

The 'Complete Generative AI' course covers prerequisites and advanced topics related to generative AI, including LangChain and Hugging Face. It spans about 53.5 hours of content.

What are Krishak’s future plans regarding new courses?

Krishak plans to release a 'Big Data Engineer' course in collaboration with a mentor working in an MNC. He also plans to work on Big Data with AWS, with these courses expected to be around 50-60 hours long.

What additional learning support does Krishak offer for his courses?

From next month, Krishak will be offering free live sessions for those who have enrolled in his courses. These sessions will provide additional learning support.