Machine Learning Course in Delhi with Certification and Placement
Master Machine Learning in Delhi through an intensive 1.5-month bootcamp. Learn regression, classification, clustering, and model tuning using Python and Scikit-Learn. Build real-world ML projects guided by mentors and earn a recognized certification.
Book a DemoMachine Learning Bootcamp for Delhi Learners (1.5 Months)
Attend live, interactive sessions from Delhi — same mentors, same classroom experience.
Option to visit our Gurgaon campus for weekend mentor sessions and networking.
Work on 5+ business ML projects — sales, churn, and prediction tasks.
Get resume feedback, mock interviews, and placement guidance across Delhi NCR.
Key Highlights of Our Machine Learning Course in Delhi
Flexible learning—join live online or attend in-person sessions at our Delhi center.
Build 5+ end-to-end projects from Delhi-specific business case studies.
Covers EDA, regression, classification, clustering, pipelines, and evaluation metrics.
Resume reviews, mentorship, and guaranteed placement assistance in Delhi NCR.
Explore Full Machine Learning Curriculum & Modules
This Delhi specialization deepens your ML expertise. Explore the complete syllabus, advanced projects, and certification details on our main ML course page.
See Complete CurriculumWhy Choose Our Machine Learning Course in Delhi
Why Choose School of Core AI for Machine Learning in Delhi
See how our Machine Learning training for Delhi learners stands apart from typical online courses
| Features | School of Core AI | Other Institutes |
|---|---|---|
| Learning Format | Live interactive online classes for Delhi learners with optional in-person mentorship at our Gurgaon center | Pre-recorded or rigid batch formats |
| Curriculum Depth | Complete ML workflow — pipelines, feature engineering, Optuna tuning, ensembles, explainability, and MLflow tracking | Only basic algorithms and theory |
| Projects | 5+ hands-on projects using real-world ML datasets — sales prediction, churn analysis, and credit scoring | Mini academic examples or toy data |
| Mentorship | 1:1 mentor support from experienced ML engineers and continuous project feedback | Limited or no personalized guidance |
| Placement | 2000+ hiring partners across Delhi NCR with dedicated resume and interview prep support | Generic job portal references |
| Certification | Industry-recognized Machine Learning certification from the School of Core AI | Unverified or basic completion certificates |
Live interactive online classes for Delhi learners with optional in-person mentorship at our Gurgaon center
Pre-recorded or rigid batch formats
Complete ML workflow — pipelines, feature engineering, Optuna tuning, ensembles, explainability, and MLflow tracking
Only basic algorithms and theory
5+ hands-on projects using real-world ML datasets — sales prediction, churn analysis, and credit scoring
Mini academic examples or toy data
1:1 mentor support from experienced ML engineers and continuous project feedback
Limited or no personalized guidance
2000+ hiring partners across Delhi NCR with dedicated resume and interview prep support
Generic job portal references
Industry-recognized Machine Learning certification from the School of Core AI
Unverified or basic completion certificates
What You'll Learn in This Machine Learning Bootcamp
Machine Learning Course in Delhi
Learning Objectives & Outcomes
Beyond Machine Learning — Choose Your Specialization
Advance into focused AI domains after mastering ML fundamentals.
Once you’ve completed your Machine Learning Course in Delhi, continue your journey in specialized fields. Whether you want to build visual AI models, work with text understanding systems, or train large-scale neural networks, these advanced paths prepare you for the future of AI.
Machine Learning Certification in Delhi
Placement Assistance & Hiring Partners
Career Path After the ML Course
Move from learning models to applying them in real-world AI and analytics roles across Delhi-NCR.
Advance into Deep Learning — master Neural Networks, CNNs, and Transformers to build intelligent systems for Vision and NLP applications.
Transition into Data Science roles with skills in analytics, visualization, and ML-powered business insights. Includes placement training and project portfolio review.
Go beyond modeling — learn how to deploy, scale, and monitor ML models using Docker, CI/CD, and MLflow, preparing for real production AI systems.
In-Demand ML Skills You’ll Gain
Learn tools and workflows trusted by Delhi’s AI teams.
Automate preprocessing, encoding, and training with reusable workflows.
Extract meaningful features using correlation and RFE.
Validate models using K-Fold and GridSearchCV.
Optimize models efficiently with Optuna’s sampling and pruning.
Learn XGBoost, LightGBM, and CatBoost to improve accuracy and interpretability.
Interpret predictions with SHAP and LIME for transparency and trust.
Continue Your ML Journey
After completing your Machine Learning Course in Delhi, move into specialized Data Science and AI programs designed to make you placement-ready and industry-relevant.
Data Science with Machine Learning
Build on your ML foundation through advanced analytics, end-to-end data pipelines, and project-based learning. Perfect for learners aiming for analyst or junior data scientist roles in Delhi NCR.
Data Science with Deep Learning
Explore neural networks, CNNs, and RNNs to create AI systems for vision and text-based tasks. Learn advanced architectures used in Delhi’s AI startups and research labs.
Data Science with Generative AI
Dive into Large Language Models and Generative AI. Learn prompt engineering, RAG pipelines, and AI agent workflows to build intelligent business solutions.
Full-Stack Data Science Program
Advance to full-stack data science — mastering ML, DL, GenAI, APIs, and cloud deployment. Ideal for Delhi professionals seeking end-to-end AI readiness.
Our Vibrant Student Community
Community Benefits
Our Alumni Network
Machine Learning Course Fees in Delhi
Learn to build LLM-powered systems, Retrieval-Augmented Generation (RAG) pipelines, and agent-based AI workflows.
Deploy, optimize, and scale Large Language Models in production using modern LLMOps tools and frameworks.
Integrate MLOps, LLMOps, and GenAIOps to automate full AI lifecycles — monitoring, governance, and observability at scale.
Step up to design enterprise-grade AI systems that blend cloud, multi-agent, and LLM infrastructure seamlessly.
Learner Success Stories
Frequently Asked Questions
Anyone familiar with basic Python or data handling—students, analysts, or working professionals wanting to move into AI/ML.