Machine Learning Courses and Certifications

Coursera

Production AI Model Development and Ethics

Master production ML lifecycle from feature engineering to ethical deployment, covering PyTorch optimization, model evaluation, and responsible AI documentation practices.

• Coursera
• 10 hours 5 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Beginning Llamafile

Learn to serve powerful language models as practical, scalable web APIs using the llama.cpp server. Keep your data private and avoid cloud latency and fees.

• edX
• 2 weeks, 1-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Guided Project: Predict World Cup Soccer Results with ML V2

In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.

• edX
• 1 week, 1 hour/week
• Self-Paced
• Free Certificate

Getting Started with Amazon Personalize

Learn to build personalized recommendation engines using Amazon Personalize. Explore key concepts, features, and create a movie recommendation solution in your AWS account through a guided tutorial.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

AI Model Development & Deployment

Unlock the skills to architect, optimize, and deploy production-ready machine learning systems with hands-on experience in PyTorch, TensorFlow, FastAPI, and AWS SageMaker.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineer Associate

Master essential AI engineering skills through feature engineering, deep learning frameworks, and AI agent development for real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Board Infinity

Automate Financial Insights with AI Tools & Dashboards

Master end-to-end financial automation using APIs, ETL pipelines, Power BI, Tableau, ML models, and LLM tools to build production-ready AI-powered analytics systems and dashboards.

• Coursera
• 19 hours 59 minutes
• Self-Paced
• Paid Course

Coursera

Building and Optimizing AI Models

Master the full AI model lifecycle—design neural networks, apply transfer learning, optimize deep learning workflows, and benchmark performance using Python and TensorFlow.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Packt

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.

• Coursera
• 8 hours 43 minutes
• Self-Paced
• Paid Course

Future of data and technology in football

Explore cutting-edge AI, machine learning, and advanced tracking technologies revolutionizing football analytics, scouting, and performance optimization.

• Coursera
• 21 hours 16 minutes
• Self-Paced
• Paid Course

Coursera

Predictive Models for Financial Risk

Master supervised machine learning for financial risk assessment through hands-on Python projects, data preparation, model validation, and transparent business communication.

• Coursera
• 1 hour 43 minutes
• Self-Paced
• Paid Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Master exploratory data analysis and core ML algorithms including linear regression, logistic regression, Naive Bayes, and decision trees through hands-on projects and real-world applications.

• Coursera
• 14 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

Measure ML Impact & Business Value

Discover how to translate ML model performance into measurable business value through metric trees, experimental design, and ROI analysis for data-driven decision making.

• Coursera
• 4 hours 56 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Systematic ML Optimization

Master systematic ML optimization techniques to transform experimental models into robust, production-ready systems that deliver sustained business value through reproducible workflows.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 2 courses

IIIT-Delhi;  NPTEL

Optimisation for Machine Learning: Theory and Implementation (Hindi)

मशीन लर्निंग के लिए ऑप्टिमाइजेशन की नींव: सिद्धांत और कार्यान्वयन। लीनियर अल्जेब्रा, कैलकुलस, और प्रोग्रामिंग से शुरू करके, विभिन्न एल्गोरिदम और उनके अनुप्रयोगों को सीखें।

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course