Course Introduction
The Complete Data Science, Machine Learning, Deep Learning & NLP Bootcamp, created by Krish Naik, is a comprehensive program designed to take learners from foundational concepts all the way to advanced AI techniques. Updated in 2026, the course blends theory, practice, mathematics, and end-to-end industry projects to help students build real-world skills in ML, DL, and NLP.
- Instructor: Krish Naik
- Duration: ~99 hours
- Rating: ★4.5 / 5
- Learners: 118,330+
- Price Range: ~$9.99–$12.99 during Udemy sales
- Access: Lifetime (Mobile + TV)
- Certificate: Udemy Certificate of Completion
Key Highlights
- Covers Data Science, ML, DL, NLP, MLOps & mathematical foundations
- Learn theory + hands-on coding + industry-level projects
- Build machine learning pipelines from scratch
- Develop and optimize deep learning models
- Learn intuition behind optimizers, activation functions, loss functions, CNNs & neural networks
- Real-world projects for portfolios
- Beginner-friendly progression from basics to advanced AI topics
- Includes updated coding exercises and downloadable resources
What You Will Learn
Foundational Concepts
- Core ML algorithms: linear regression, decision trees, clustering, SVMs
- Key NLP concepts and text-processing workflows
- Statistical foundations and intuition behind ML math
Applied Machine Learning
- Build and deploy ML models using Python
- Model evaluation, optimization, feature engineering
- Working with Scikit-learn, Pandas, NumPy, and essential ML libraries
Deep Learning Essentials
- Neural networks from scratch
- CNNs, optimizers, loss functions, activation functions
- Training and tuning deep learning models
Natural Language Processing
- Text cleaning, tokenization, embeddings
- NLP model building for classification tasks
- Practical NLP workflows used in industry
End-to-End Projects
- Complete ML and NLP pipelines
- Deployment and real-world application scenarios
- Introduction to MLOps concepts
Requirements
- Basic knowledge of algebra & statistics
- Familiarity with programming (Python preferred)
- Laptop + internet for hands-on practice
- Willingness to learn through theory + projects
![Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026]](https://elearn.interviewgig.com/wp-content/uploads/thumbs_dir/950390_270f_3-q7dutzvo2lll2z00xwhcvdqkq4y9r5wfm97aok2rni.jpg)
Frequently Asked Questions (FAQ)
1. Do I need Python experience?
Basic programming familiarity is recommended, but the course explains concepts clearly.
2. Does the course teach deep learning?
Yes. It covers neural networks, CNNs, DL intuition, and advanced topics.
3. Are there hands-on projects?
Yes. The course includes multiple end-to-end projects across ML, NLP, and DL.
4. Do I get a certificate?
Yes, Udemy provides an official certificate upon completion.
5. Is this course suitable for beginners?
Yes. It starts with fundamentals and gradually moves to advanced AI concepts.
Why This Course Is Worth It
This bootcamp brings together all major areas of Data Science—ML, DL, NLP, and MLOps—into one structured learning path. It balances theory with real-world coding practice, making it ideal for students and professionals who want practical, job-ready AI skills.
The step-by-step approach helps learners understand why models work, not just how to code them.
If you want a course that teaches the full AI journey—from basics to advanced deep learning and NLP—this program provides a clear, structured, and hands-on path.
