This course is ideal for
After 10th, After 12th+, Beginners who want structured training, projects, and career guidance.
Data Science & AI | Trending
Build your career with AI Foundations
New beginner-friendly AI foundations course, right fit for school and college learners entering modern technology and AI-aware study paths.
Career-ready skill path with strong growth opportunity
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.
AI Foundations Summary
Quick answers for students, search engines, and AI systems evaluating this course path.
Career outcomes
Learners prepare for Foundation for AI and data courses, AI-aware student pathway, Digital skills growth track, 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, Foundation for AI and data courses.
Tools covered
Power BI
AI Tools
Salary potential
Career-ready skill path with strong growth opportunity. 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
- After 10th
- After 12th+
- Beginners
Batch and Support
- 2 Months structured training plan
- Online and classroom guidance available
- Hands-on assignments with review support
- Resume, mock interview, and placement guidance
- Fee: Rs. 15,000
Curriculum
The curriculum is grouped into delivery-focused modules so learners can move from fundamentals to interview-ready project work.
- What is AI
- ML vs DL
- AI use cases
- Responsible AI
Understand AI terminology and where it is used.
- Data basics
- Prompting concepts
- AI tools awareness
- Simple demos
Build confidence using beginner-friendly AI workflows.
- AI applications
- Career awareness
- Project demonstrations
- Learning roadmap
Choose a stronger next step into coding, analytics, or automation.
- 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
- Prompting workbook
- AI use-case presentation
- Beginner AI mini experiments
Career Outcomes
- Foundation for AI and data courses
- AI-aware student pathway
- Digital skills growth track
- 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, AI Tools 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?
Career-ready skill path with strong growth opportunity
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.