Learn Python, data wrangling, supervised and unsupervised learning, deep learning, NLP and MLOps on real datasets, build a hands-on ML portfolio, and explore the next steps toward a career in Machine Learning.
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Everything built into the program to take you from Python and data fundamentals to machine learning, deep learning, NLP, computer vision and MLOps.
Learn in real time with expert instructors — every session live and interactive.
Build ML models, end-to-end prediction pipelines and production-ready data science labs.
Get technical guidance on Python, scikit-learn, TensorFlow, model tuning, MLOps and career preparation.
Resume and LinkedIn optimization, Machine Learning job search guidance and career support.
Practice ML case studies, model walkthroughs, technical and behavioral interviews with structured feedback.
Receive a certificate validating your Cloud Engineering training.
Revisit live sessions with extended recording access when you need more practice.
Learn in a focused cohort with guided ML labs, model-building projects and mentor support.
Machine Learning and technology placements across the U.S. — proof that this path works.
What Machine Learning placements look like for our graduates across the U.S.
Graduates of the Machine Learning Bootcamp now work at companies we partner with — here's what they say.
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Nine practical modules covering Python, data wrangling, supervised and unsupervised learning, deep learning, NLP, computer vision, MLOps and deployment — ending with an end-to-end machine learning capstone.
Fill a quick form and get the full 90-day curriculum PDF instantly.
Build Strong ML Foundations
Build ML Skills. Become Career-Ready.
Personalized ML Training. Dedicated Career Support.
Monthly payment plans are available on all plans — spread your payment over easy installments. Not sure which plan fits? Apply free and talk to our team before you decide.
The modern ML stack — from Python and data wrangling to deep learning, NLP, computer vision and MLOps — taught live and hands-on over 90 days.
Core language for ML
Data wrangling & analysis
Classical ML models
Deep learning frameworks
Transformers & embeddings
CNNs & image models
Deploy & monitor models
Experiment tracking
Real instructors, real time
Portfolio-ready applications
Train models on real data
Serve models with Docker & APIs
Resume & interview coaching
Monitor, retrain and improve
Six simple steps to build practical machine learning skills and prepare for ML career opportunities.
Register and get your syllabus instantly.
Live hands-on ML training.
Build ML models, data pipelines and deep learning projects.
Create a portfolio-ready machine learning project.
Resume, mock interviews & job search guidance.
Prepare for Machine Learning Engineer, Data Scientist and AI Engineer opportunities.
Step 01 — Apply in under a minute and get your syllabus, class links and bootcamp updates by email.
Have questions about the Machine Learning bootcamp, curriculum, pricing or career paths? Book a free consultation with our team.
No obligation. Just guidance to help you plan your next career step.