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PyCaret - Low-Code Machine Learning and AI Automation

Master PyCaret from fundamentals to advanced techniques and learn to build, compare, and deploy machine learning models with minimal code.
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Course Duration: 10 Hours
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PyCaret: Accelerating Machine Learning with Low-Code Automation
 
Machine learning has the potential to transform industries, but building models from scratch can be time-consuming, complex, and resource-intensive. PyCaret changes that by offering a low-code machine learning library in Python that automates the process of model training, comparison, tuning, and deployment — enabling faster experimentation and rapid delivery of AI solutions.
 
This course is designed to equip you with both the foundational knowledge of machine learning concepts and the hands-on skills to apply PyCaret for real-world use cases. Whether you’re a data scientist, analyst, or business professional looking to integrate AI into workflows, PyCaret allows you to focus more on business insights rather than boilerplate code.
 
At the core of this course is Argo PyCaret — a practical methodology for leveraging PyCaret’s modular API to streamline end-to-end machine learning pipelines. Argo PyCaret emphasizes reproducibility, scalability, and deployment readiness. It introduces standardized workflows that align with modern MLOps practices, covering data preprocessing, model selection, hyperparameter tuning, interpretability, and deployment.
 
What is Argo PyCaret?
Argo PyCaret is a structured approach that integrates PyCaret’s automation capabilities with enterprise AI workflows. It defines best practices for preparing datasets, choosing algorithms, optimizing performance, interpreting results, and deploying models in production — all within a low-code environment. It’s ideal for organizations aiming to accelerate AI adoption without heavy infrastructure investment.
 
How to Use This Course
The course follows a logical, progressive structure:
  1. Learn ML Foundations – Understand the basics of supervised and unsupervised learning, metrics, and workflows.
  2. Explore PyCaret Modules – Get hands-on with classification, regression, clustering, anomaly detection, natural language processing, and time series forecasting modules.
  3. Implement Argo PyCaret Workflow – Apply a repeatable pipeline for dataset preparation, model training, evaluation, and deployment.
  4. Experiment Rapidly – Compare multiple models with a single function call and identify the best-performing one.
  5. Optimize Models – Perform automated hyperparameter tuning and ensembling.
  6. Interpret Results – Use built-in interpretability tools like SHAP for model insights.
  7. Integrate with MLOps – Deploy models via Flask, FastAPI, or cloud platforms (AWS, Azure, GCP).
  8. Work on Case Studies – Solve real-world problems in finance, healthcare, retail, and marketing.
  9. Collaborate and Document – Learn to version your ML experiments for team collaboration.
  10. Build a Portfolio – Showcase your PyCaret projects on GitHub and in interviews.
By the end, you’ll be confident in using PyCaret not just for prototyping, but for delivering production-ready AI solutions.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

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Course Objectives Back to Top
By the end of this course, you will be able to:
 
  1. Understand the purpose, architecture, and workflow of PyCaret.
  2. Apply Argo PyCaret methodology to end-to-end ML pipelines.
  3. Build classification, regression, clustering, and forecasting models with minimal code.
  4. Preprocess and clean datasets using automated functions.
  5. Compare and select the best-performing model from multiple algorithms.
  6. Optimize models through tuning, ensembling, and stacking.
  7. Interpret model predictions with SHAP and other tools.
  8. Deploy models to production environments.
  9. Integrate PyCaret workflows with MLOps pipelines.
  10. Work on real-world projects across industries.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to PyCaret
  • Overview and benefits of low-code ML
  • Argo PyCaret workflow introduction
  • Installation and setup
Module 2: PyCaret Basics
  • Understanding ML experiments
  • Dataset loading and preprocessing
  • Automated EDA
Module 3: Classification
  • Creating and comparing models
  • Evaluating classification metrics
  • Tuning and ensembling classifiers
Module 4: Regression
  • Building regression models
  • Performance metrics and model comparison
  • Hyperparameter tuning
Module 5: Clustering and Anomaly Detection
  • Unsupervised learning workflows
  • Interpreting cluster assignments
  • Detecting anomalies
Module 6: Natural Language Processing (NLP)
  • Text preprocessing and vectorization
  • Sentiment analysis and topic modeling
Module 7: Time Series Forecasting
  • Preparing time series data
  • Forecasting models and evaluation
Module 8: Model Interpretation
  • SHAP and LIME integration
  • Feature importance analysis
Module 9: Model Deployment
  • Exporting and saving models
  • Deploying with Flask, FastAPI, and cloud platforms
Module 10: Capstone Project
 
  • Solving a real-world problem with PyCaret
  • Documenting and presenting results
Certification Back to Top

Upon completion, learners will receive an Industry-Recognized Certificate in PyCaret and Low-Code Machine Learning from Uplatz. This credential demonstrates your ability to design, implement, and deploy machine learning models rapidly using PyCaret. It verifies skills in multiple domains — from classification and regression to NLP and time series — along with an understanding of MLOps integration. The certification enhances your profile for roles such as Machine Learning Engineer, Data Scientist, AI Automation Specialist, and MLOps Engineer, and is a valuable digital badge for LinkedIn, resumes, and professional portfolios.

Career & Jobs Back to Top
Low-code AI development is reshaping the way organizations adopt machine learning. PyCaret professionals are in demand for their ability to deliver AI solutions quickly without heavy engineering overhead. Career paths include:
  • Machine Learning Engineer
  • Data Scientist
  • AI Automation Specialist
  • MLOps Engineer
  • Data Analyst (AI-focused)
Industries hiring PyCaret-skilled professionals include finance, healthcare, marketing, e-commerce, and technology consulting. Salaries range between $85,000 and $150,000 annually in global markets, with opportunities to move into leadership positions like Lead Data Scientist or AI Solutions Architect. Freelancers and consultants can use PyCaret to deliver faster projects with higher ROI for clients, making it a profitable niche in the AI service market.
Interview Questions Back to Top
1. What is PyCaret and why is it popular?
It’s a low-code Python library that automates machine learning workflows, enabling faster model building and deployment.
 
2. How does Argo PyCaret enhance PyCaret usage?
It provides a structured methodology for repeatable, enterprise-ready ML pipelines.
 
3. What are the main modules of PyCaret?
Classification, Regression, Clustering, Anomaly Detection, NLP, and Time Series.
 
4. How does PyCaret handle model comparison?
By training multiple algorithms and ranking them based on chosen performance metrics.
 
5. Can PyCaret be used for deep learning?
While primarily for traditional ML, it can integrate with deep learning frameworks via custom models.
 
6. How do you deploy a PyCaret model?
By saving/exporting the model and serving it via Flask, FastAPI, or cloud services.
 
7. What role does SHAP play in PyCaret?
It’s used for model interpretation, showing feature impact on predictions.
 
8. How does PyCaret handle missing values?
It offers built-in preprocessing to impute missing values before model training.
 
9. Can PyCaret be integrated with MLOps tools?
Yes, it can integrate with CI/CD pipelines, experiment tracking, and model registries.
 
10. What are PyCaret’s main advantages over manual coding?
Speed, simplicity, reduced boilerplate code, and built-in automation for model lifecycle.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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