This course is ideal for
Degree, B.Tech, Working Professionals who want structured training, projects, and career guidance.
Data Science & AI | Advanced
Build your career with Machine Learning
Model building, evaluation, feature engineering, and applied ML case studies.
Avg Salary: Rs. 6 LPA to Rs. 20 LPA
Python, data preparation, and visualization foundations
Machine learning workflow and model evaluation
Dashboarding, reporting, and communication of insights
Portfolio development for analytics and AI-oriented roles
AI learning: distinguish foundations from tool use
Compare Python and data prerequisites with the selected AI syllabus. Prompt-tool practice, machine learning foundations and model development are different learning goals.
Ask what datasets, evaluation exercises and responsible-use practices are included. Do not share confidential employer or customer data in learning tools.
Placement preparation supports practice and applications; employment depends on learner performance and employer selection. Ask about this course or compare the course catalogue.
Machine Learning Summary
Quick answers for students, search engines, and AI systems evaluating this course path.
Career outcomes
Learners prepare for ML Engineer Trainee, Junior Data Scientist, Analytics Associate, Machine Learning Intern roles with project explanation and interview support.
Jobs you can apply for
Data Analyst, BI Analyst, Junior Data Scientist, ML Intern, Reporting Analyst, ML Engineer Trainee.
Tools covered
Power BI
Machine Learning
Salary potential
Avg Salary: Rs. 6 LPA to Rs. 20 LPA. Actual salary depends on project quality, interview performance, communication, and hiring market conditions.
Placement preparation
Includes resume guidance, mock interviews, project explanation practice, career counselling, and related interview-prep learning paths.
Course Snapshot
A clear overview of who this program fits, what you will learn, and how it supports your job-ready transition.
Course Highlights
- Python, data preparation, and visualization foundations
- Machine learning workflow and model evaluation
- Dashboarding, reporting, and communication of insights
- Portfolio development for analytics and AI-oriented roles
Who Can Join
- Degree
- B.Tech
- Working Professionals
Batch and Support
- 3 Months structured training plan
- Online and classroom guidance available
- Hands-on assignments with review support
- Resume, mock interview, and placement guidance
- Fee: Rs. 30,000
Curriculum
The curriculum is grouped into delivery-focused modules so learners can move from fundamentals to interview-ready project work.
- Supervised learning
- Train/test split
- Metrics
- Feature prep
Understand the end-to-end model building lifecycle.
- Regression
- Classification
- Model tuning
- Validation
Compare models and select better approaches for business use cases.
- Pipelines
- Case-study problem solving
- Model presentation
- Interview prep
Explain practical ML workflows with confidence.
- Power BI or dashboards
- Case studies
- Presentation of insights
- Interview preparation
Create portfolio-ready analytics projects and prepare for hiring rounds.
Projects and Outcomes
Projects are used to convert the syllabus into portfolio-ready work and cleaner interview answers.
Projects You Can Build
- Loan prediction model
- Customer segmentation case study
- House price prediction
Career Outcomes
- ML Engineer Trainee
- Junior Data Scientist
- Analytics Associate
- Machine Learning Intern
- AI Analyst
Job Roles
Each course can now list exact role targets separately for India and abroad job markets.
Jobs in India
- Data Analyst
- BI Analyst
- Junior Data Scientist
- ML Intern
- Reporting Analyst
Jobs Abroad
- Junior Data Analyst
- Business Intelligence Analyst
- Data Science Associate
- Analytics Engineer
Why Harsha Informatics
Compare the learning approach with your current skills, available practice time and career goal.
Mix of analytics, ML, and dashboard skills
Built around practical execution, learner support, and fresher-career readiness.
Strong project storytelling for interviews
Built around practical execution, learner support, and fresher-career readiness.
Useful for both fresher and upskilling tracks
Built around practical execution, learner support, and fresher-career readiness.
Content structured around real datasets and business use cases
Built around practical execution, learner support, and fresher-career readiness.
Frequently Asked Questions
Direct answers for the questions learners usually ask before joining.
Is this suitable for beginners?
Yes. The training starts with fundamentals and builds toward practical delivery with guided support.
Will there be projects or practice?
Yes. Each course includes structured assignments, review cycles, and practical implementation work.
What tools are covered in this course?
This course covers Power BI, Machine Learning along with assignments, projects, and interview-focused practice.
What jobs can I apply for after this course?
Learners can prepare for roles such as Data Analyst, BI Analyst, Junior Data Scientist, ML Intern, Reporting Analyst, depending on skill level and interview performance.
Does this course include salary guidance?
Avg Salary: Rs. 6 LPA to Rs. 20 LPA
Start your career journey with Harsha Informatics.
Get clear guidance on course fit, batch timing, projects, fees, placement preparation, and the best next step for your career goal.