Learn machine learning in Vijayawada & Amaravati with Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and an introduction to TensorFlow/Keras. Build working models, handle real datasets, and understand how ML projects move from data cleaning to deployment basics.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 60 Days + Placement
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Learning machine learning is only part of the job-ready path. Inventateq focuses on practical support that helps learners present their skills clearly for roles in data, AI, and ML teams across Vijayawada & Amaravati and nearby hiring hubs.
Machine learning and data roles in Vijayawada & Amaravati are commonly hired by IT services, analytics teams, startups, product companies, and business units that use data for decisions. Pay grows with project experience, model-building ability, and deployment exposure.
Machine Learning Average Salary by Experience
Machine learning and data roles in Vijayawada & Amaravati are commonly hired by IT services, analytics teams, startups, product companies, and business units that use data for decisions. Pay grows with project experience, model-building ability, and deployment exposure.
Machine Learning Average Salary by Experience
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Inventateq teaches machine learning in a practical sequence: Python basics, data handling, statistics, preprocessing, supervised learning, unsupervised learning, evaluation, feature engineering, deep learning overview, and deployment basics. Students work through the same tools used in the syllabus so the learning stays applied, not theoretical.
We stand apart through our commitment to:
The live online machine learning training is accessible from Vijayawada & Amaravati with the same syllabus, tools, and mentor interaction. Learners can attend from home, follow the projects in real time, and get support without pausing work or college.
Good for students who want practical machine learning skills before applying for internships and entry-level roles.
Useful for analysts who want to move from reports and dashboards into model-building work.
Fits professionals who already know data basics and want to add ML to their profile.
Suitable for non-core candidates who want a structured path into AI and data roles.
A strong option for learners who want to start with Python and move into applied machine learning.
Duration: Structured around the full machine learning syllabus
Mode: Offline classroom and live online options
Training style: Mentor-led practical sessions with hands-on work
Audience: Suitable for beginners and job seekers in Vijayawada & Amaravati
No prior machine learning experience is required to start this course.
Rated 4.9/5
Inventateq keeps the training practical from the first module. Learners work through the actual machine learning pipeline, from data preparation and model building to evaluation, feature engineering, and deployment basics.
You finish the course with practical exposure to datasets, model training, evaluation, and basic deployment. The projects and tool-based sessions help you show what you can do, not just what you studied.
Work on house price prediction, spam email detection, customer segmentation, and disease prediction. These projects show how the syllabus applies to common ML use cases.
Learn to clean data, manage missing values, encode categories, and prepare datasets for modeling. This is the base of most machine learning work.
Use supervised and unsupervised methods, then evaluate results with accuracy, precision, recall, F1 score, and cross-validation.
Practice feature creation, transformation, scaling, outlier handling, and imbalanced data treatment. These steps improve model performance in real projects.
See how saved models connect to Flask, FastAPI, APIs, and cloud deployment ideas. This helps bridge the gap between notebooks and application use.
Use resume building and interview preparation sessions to present your machine learning skills clearly for data and AI roles.
This certification validates that you have completed practical machine learning training with Python, Scikit-learn, Pandas, NumPy, and introductory deployment work. It helps employers see that you have studied the full workflow, not just isolated concepts.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes. The course starts with machine learning basics and moves into Python, data handling, statistics, preprocessing, and model building. Beginners can follow the modules step by step. Mentors also help with doubts during training.
Yes. The syllabus includes house price prediction, spam email detection, customer segmentation, and disease prediction. These projects help you practice the full ML workflow. They also give you examples for your resume and interviews.
Yes, placement support is part of the course structure. You get resume help, interview preparation, and guidance for roles like machine learning intern, data analyst, and junior data scientist. The support is focused on helping you present your skills clearly.
Yes, if they are ready to learn Python and work through the syllabus seriously. The course begins with foundations and builds up gradually. Clear teaching and guided practice make it manageable for learners from different backgrounds.
Yes. The same course can be attended live online from Vijayawada & Amaravati. You still get mentor interaction, the full syllabus, and practical sessions. This works well for students and working professionals who need flexibility.
The course is organized across the full machine learning syllabus, from introduction to deployment basics and projects. You will work with Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow/Keras, and Flask basics. The training is built to be practical from day one.
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