What Are Krish Naik’s Udemy Courses and Future Plans After iNeuron, Will He Start a New Edtech Company?

TL;DR

Krish Naik will continue teaching AI on YouTube and Udemy rather than starting another edtech company. After his final working day at iNeuron on June 7, 2024, he plans to maintain three or four comprehensive courses while forming a five-to-six-person team to spend about six months developing an AI product MVP. Read on for details about his courses, update strategy, product team, and future plans.

Transcript

hello all my name is Krish naak and welcome to my YouTube channel so guys I hope everybody has seen my LinkedIn post so 7th June 2024 was my last working day in in neuron and now I'm moving to the next chapter of my life uh the work that I did in uron was quite amazing I learned a lot of things um in this video I'm going to talk about what all thin... Read More

Key Insights

• Krish Naik's last working day at iNeuron was June 7, 2024, marking the beginning of a new phase focused on independent teaching and AI product development. He says he learned extensively from his work there and wants to continue creating educational impact.
• Starting another edtech company is not part of Krish's plans. He selected Udemy instead of developing a separate learning management system because it lets him distribute English-language courses internationally at a comparatively low listed price of Rs 399 to Rs 599.
• Continued teaching is a central part of Krish's future plans. He intends to publish on both YouTube and Udemy, covering emerging developments in generative AI, machine learning, MLOps, deep learning, and related areas while regularly refreshing his knowledge and educational material.
• The Udemy catalog will contain only three or four major courses. Instead of producing a large number of separate offerings, Krish plans to maintain comprehensive courses that receive weekly additions and updates as tools, frameworks, and AI techniques evolve.
• The machine learning boot camp is intended to combine Python, machine learning, NLP, deep learning, MLOps, deployment, and end-to-end projects. It contained about 57 hours of material, with approximately 30 more hours planned for Python instruction and practical projects.
• The Python section uses Python 3.12 and Visual Studio Code in newly recorded lessons. Material through object-oriented programming had been uploaded, while planned additions included data analysis with NumPy, pandas, and Matplotlib, followed by modules covering Flask, Streamlit, and FastAPI.
• The proposed generative AI course will cover advanced NLP for deep learning, LangChain, open-source models, OpenAI language models, and inferencing. An existing course also focuses on building generative AI applications through more than 12 hands-on projects using Google Gemini Pro.
• The AI product will initially be developed by a team of five to six people. Krish is seeking front-end developers, UI and UX designers, backend developers, and AI engineers, with about six months allocated to create an MVP before revealing the underlying problem statement.

Questions & Answers

Q: Will Krish Naik start another edtech company?

No, Krish Naik says he is not going to start another edtech company. He plans to continue teaching through YouTube and Udemy while also working on an AI product.

Q: What are Krish Naik’s plans after leaving iNeuron?

June 7, 2024, was Krish Naik’s final working day at iNeuron. His next chapter combines continued AI teaching on YouTube and Udemy with the development of an AI product intended to solve a major problem.

Q: How many Udemy courses does Krish Naik plan to create?

Krish plans to create only three or four main Udemy courses rather than about 50 separate courses. He intends to keep those comprehensive courses updated as new developments emerge in AI-related fields.

Q: What does Krish Naik’s machine learning boot camp cover?

The boot camp is designed as a one-stop resource for machine learning, deep learning, NLP, end-to-end projects, MLOps, and deployment. Its listed topics include random forests, decision trees, k-nearest neighbors, Docker, Git, and deep learning material through CNNs.

Q: Will Krish Naik continue teaching AI?

Yes, Krish says he will keep teaching on both YouTube and Udemy. He plans to cover new developments in generative AI, machine learning, MLOps, deep learning, and other areas of AI.

Q: Are Krish Naik’s Udemy course videos available on YouTube?

The complete Udemy course is not available on his YouTube channel. Some initial machine learning material and recordings about Docker and Git are available there, but topics such as random forests, decision trees, k-nearest neighbors, and the NLP deep-learning material were freshly recorded for the course.

Q: What team does Krish Naik want for his AI product?

Krish initially plans to form a team of five to six members. He is seeking front-end developers, UI and UX designers, backend developers, and AI engineers, and says interested candidates can contact him through LinkedIn.

Q: How long will Krish Naik take to develop his AI product MVP?

Krish expects development of the minimum viable product to take around six months. He plans to proceed slowly and reveal the major problem the product addresses after the MVP has been developed.

Summary & Key Takeaways

• Krish Naik says June 7, 2024, was his final working day at iNeuron. His next chapter will combine continued AI education with development of an AI product. He explicitly rejects plans to launch another edtech company and intends to keep teaching through YouTube and a limited Udemy course catalog.

• His main Udemy boot camp is designed as a one-stop resource covering Python, machine learning, NLP, deep learning, MLOps, deployment, and end-to-end projects. The course contained about 57 hours when discussed, with roughly 30 additional hours planned for Python and projects, followed by deeper NLP and transformer material.

• Krish plans to create only three or four major Udemy courses and update them as technologies change. A separate generative AI course will address advanced NLP, LangChain, open-source models, OpenAI models, and inferencing. Meanwhile, the proposed AI product will begin with a small multidisciplinary team developing an MVP over about six months.