10 Best Machine Learning Certification Courses in 2024

August 6, 2024

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Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables machines to learn from data by creating algorithms and models and making decisions. ML algorithms are inclined towards learning patterns and correlations between data to foster future decision-making without human intervention.

ML is being adapted worldwide quickly, with governments, industries, education and health sectors investing heavily in AI and ML. Upskilling in ML is crucial as, apart from the rising global interest, ML also increases operational efficiency, saves time and cost, promotes data-driven decision-making, and enhances the customer experience by personalizing it. Given these benefits, an expert in ML is demanded globally.

This article is perfect if you want to start your career in Machine Learning; the list will provide you with valuable insights about courses. If you’re considering a career in Machine Learning, explore our curated list of 10 best Machine Learning certification courses to kickstart your journey.

Best Machine Learning Certification: 2024

AWS Machine Learning Engineer by Udacity:

- This advanced course will teach testing Python code to build packages, building predictive models, using Amazon SageMaker, A/B tests, and utilizing API. The skills imparted include ML algorithms, data modeling, Machine Learning, and AWS.
- Pedagogy: This is an online self-paced course lasting 5 months.
- Practical Experience: This course includes job assistance, personalized teaching, international faculty, case-based learning, and capstone projects.
- Difficulty level: Advanced. The learners must have knowledge of Python programming.
- Language: English
- Effort required: 10 hours per week

Machine Learning Engineer for Microsoft Azure by Udacity:

- This intermediate course focuses on ML pipelines in Azure, automated ML, and concepts of operationalizing ML. Skills imparted are Azure ecosystem, cloud networking, ML techniques, and cloud deployment.
- Pedagogy: This is an online self-paced course lasting for 3 months.
- Practical Experience: This course includes virtual labs, job assistance, personalized teaching, international faculty, case-based learning, and capstone projects.
- Difficulty level: Intermediate. Previous knowledge of Python and statistics is necessary.
- Language: English
- Effort required: 10 hours per week

Intro to Machine Learning with TensorFlow by Udacity:

- This intermediate course focuses on exploring topics like supervised and unsupervised learning and deep learning. Skills imparted are TensorFlow, data cleaning, data science, and supervised and unsupervised learning.
- Pedagogy: This is an online self-paced course lasting 3 months.
- Practical Experience: This course includes job assistance, personalized teaching, international faculty, instructor-moderated discussions, and post-course interactions.
- Difficulty level: Intermediate. Previous knowledge of NumPy and pandas is a must.
- Language: English
- Effort required: 10 hours per week

Guided Tour of Machine Learning in Finance by Coursera:

- This intermediate course explains ML as the foundation of AI, overfitting and model capacity, gradient descent optimization, and regression analysis. It also imparts skills in ML techniques, ML models, and reinforcement learning.
- Pedagogy: This is an online self-paced course lasting 24 hours.
- Practical Experience: This course includes virtual labs, job assistance, post-course interactions, case studies, hands-on training and instructor-moderated discussions.
- Difficulty level: Intermediate
- Language: English

Extreme Gradient Boosting with XGBoost by DataCamp:

- This intermediate course teaches how to create supervised learning models using a powerful library with pandas and scikit-learn. It also offers real-life datasets to solve classification and regression problems. Skills imparted are data modeling, supervised learning, decision tree, and regression analysis.
- Pedagogy: This is an online self-paced course lasting 4 hours.
- Practical Experience: This course comes with virtual labs, international faculty, post-course interactions, capstone projects, case studies, and instructor-moderated discussions.
- Difficulty level: Intermediate
- Language: English

Intro to Machine Learning with PyTorch by Udacity:

- This intermediate-level course is the best Machine Learning certification online. It teaches deep learning, supervised learning, and unsupervised learning. Skills imparted are Python, ML techniques and algorithms, data cleaning, and ML.
- Pedagogy: This is an online instructor-paced course lasting 3 months.
- Practical Experience: This course includes post-course interactions, capstone projects, case studies, live classes, human interaction, an alumni network, and instructor-moderated discussions.
- Difficulty level: Intermediate. The learners must know about Python, data sets, and programming languages.
- Language: English
- Effort required: 10 hours per week

Expand Your Knowledge of Artificial Intelligence by Udacity:

- This intermediate-level course teaches the classical application of AI and ML principles. It also focuses on project-based issues that one may encounter, like logistics, operations research, automation, etc. Skills imparted are Python, ML techniques and algorithms, data cleaning, and ML.
- Pedagogy: This is an online self-paced course lasting 3 months.
- Practical Experience: This course includes post-course interactions, capstone projects, case studies, and instructor-moderated discussions.
- Difficulty level: Intermediate
- Language: English
- Effort required: 15 hours per week

Unsupervised Learning in R by DataCamp:

- This intermediate-level course will explore k-means clustering, working with PCA, and dealing with practical issues like centering and scaling data before conducting PCA. Skills imparted are programming, clustering, unsupervised learning, K-means, and ML algorithms.
- Pedagogy: This is an online self-paced course lasting 4 hours.
- Practical Experience: This course includes virtual labs, post-course interactions, capstone projects, case studies, and instructor-moderated discussions.
- Difficulty level: Intermediate
- Language: English

Case Study: School Budgeting with Machine Learning in Python by DataCamp:

- This intermediate-level course will explore creating a budget for district schools, creating baseline models, and NLP. Skills imparted are Python programming, data modeling, NLP, and ML algorithms.
- Pedagogy: This is an online self-paced course lasting 4 hours.
- Practical Experience: This course includes virtual labs, international faculty, post-course interactions, capstone projects, case studies, and instructor-moderated discussions.
- Difficulty level: Intermediate
- Language: English

Machine Learning with Caret in R by DataCamp:

- This intermediate-level course is one of the best Machine Learning certification courses. It will explore how to create, evaluate, tune, and improve predictive models using R packages. Skills imparted are random forests, regression, ML algorithms, data modeling, and R programming.
- Pedagogy: This is an online self-paced course lasting 4 hours.
- Practical Experience: This course includes virtual labs, international faculty, post-course interactions, capstone projects, case studies, and instructor-moderated discussions.
- Difficulty level: Intermediate
- Language: English

Key Takeaways

With the proliferation of data and advancements in computing, ML offers exceptional opportunities for automation, personalized experiences, and data-driven decision-making across industries. ML is also increasingly adapted in autonomous systems, personalized healthcare, and sustainability sectors, making it an important area to learn and upskill in.

Above we have discussed the top ML certification courses of intermediate and advanced levels that an established professional or a beginner can take. These courses will hone your ML skills and provide you with a competitive edge.