Dive deep into supervised and unsupervised learning, model tuning, and evaluation techniques. Build ML pipelines ready for production deployment.
Skills you'll gain in Machine Learning Specialization course
Natural Language Processing Course Overview
The Natural Language Processing (NLP) Course offers a complete journey from classical text processing to transformer-based architectures. Learners will work on tokenization, named entity recognition, sentiment analysis, text classification, and vectorization using real datasets and APIs.
Built for AI and data professionals, this course includes practical experience with NLTK, spaCy, Hugging Face Transformers, and cloud NLP tools to prepare for language AI roles in product, analytics, and automation teams.
Who Is This Program For?
Aspiring Data Scientists
Aspirational candidates with zero experience who are willing to jumpstart their careers in data science with machine learning.
Recent Graduates
Anyone who wants to get acquainted with machine learning and data science as a software developer.
Career Changers
People who are looking to switch career paths for an AI and machine learning career.
Tech Professionals
Data analysts who wish to superimpose data science with machine learning into their career.
Data Enthusiasts
Line managers who wish to learn more about the opportunities that exists in AI and data science with an application of machine learning for the improvement of their teams.
Future Managers
Future managers willing to deepen their knowledge in the field of AI and machine learning.
Course Learning Objectives in Machine Learning Specialization Course
What Sets Us Apart?
| Feature | Our Program | Other Courses |
|---|---|---|
| Expert-Led Sessions | ✔ 24 weeks of instruction from top-tier professionals with industry experience | ✘ Often lack guidance from seasoned experts, relying on less experienced instructors |
| Flexible Learning Options | ✔ Accessible 24/7 with over 150 hours of on-demand content | ✘ Limited accessibility and rigid learning schedules |
| Practical Assessments | ✔ 15 practical assessments for hands-on practice | ✘ Minimal practical exposure and hands-on opportunities |
| Real-World Assignments | ✔ Engage in 14+ real-world assignments directly linked to industry challenges | ✘ Minimal practical exposure and hands-on opportunities |
| Live Doubt-Clearing Sessions | ✔ 11 live sessions with experts for doubt resolution | ✘ Limited opportunities for real-time support and query resolution |
| Capstone Projects | ✔ 2-3 capstone projects applying skills to real-world problems | ✘ Few or no chances to work on substantial, real-world projects |
| Live Interviews | ✔ 5 mock interviews to prepare you for the real world | ✘ Lack of structured live interview preparation |
| Mock Interviews | ✔ 10 mock interviews to prepare for real job scenarios | ✘ Lack of structured mock interview preparation |
| Career and Placement Support | ✔ Comprehensive support for job placements, including resume reviews and salary negotiation tips | ✘ Often lack continuous support for career advancement and placement |
Hiring Partners
MLOps Course Fees
- Refund up to 70% if not placed within 10 months (maximum refund ₹52,499).
Additional Benefits:
- Job Assistance: Full support until you secure a role.
- Real-World Projects: Work on industry-grade use cases.
- Comprehensive Curriculum: Includes CI/CD pipelines, Docker, MLflow, Ray, and cloud deployment tools like SageMaker and Vertex AI.
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Frequently Asked Questions
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