Capstone Project + Portfolio Building Workshop + Internship + Mock Interviews + Salary Negotiation

About Course

This comprehensive module is designed to offer you a hands-on, real-world experience by combining a Capstone Project with Portfolio Building, Internship, Mock Interviews, and Salary Negotiation training. You will work on industry-level projects that showcase your skills in Machine Learning, Data Science, and MLOps. The Capstone Project will help you build a portfolio that highlights your expertise, making you stand out to potential employers. You will also undergo mock interviews to improve your interviewing skills and prepare for the real job market. Additionally, Internship and Salary Negotiation modules will give you real job exposure and teach you how to negotiate your salary effectively, ensuring you get the best deal once you land the job.

Capstone Project Execution: Complete a real-world project to showcase your machine learning, data science, and MLOps skills.
Building an Impressive Portfolio: Learn how to create a powerful portfolio that highlights your best work, projects, and technical skills.
Internship in Data Science/Machine Learning: Gain practical experience working on live projects with industry partners or real-world datasets.
Mock Interviews: Participate in simulated job interviews to hone your interviewing skills, get feedback, and improve your chances of success.
Salary Negotiation Techniques: Master the art of salary negotiation, including tips and strategies to get the best compensation package based on your skills and market trends.
Professional Etiquette: Learn how to present yourself professionally in interviews, maintain positive communication with employers, and build a professional network.
Job Placement Assistance: Receive support from instructors and mentors in applying for jobs and preparing your resume for the job market

Course Content

Capstone Project

Work on an end-to-end project involving data collection, data cleaning, feature engineering, model building, and deployment.
Apply machine learning techniques like regression, classification, clustering, and deep learning on a real-world problem.
Project Example: Predicting sales trends for an e-commerce company, detecting fraud in financial transactions, or predicting customer churn.
Showcase your project in your portfolio, including source code, project reports, and visualizations.

Portfolio Building Workshop

Internship

Mock Interviews

Salary Negotiation

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Capstone Project + Portfolio Building Workshop + Internship + Mock Interviews + Salary Negotiation

About Course

What Will You Learn?

Course Content

Capstone Project

Work on an end-to-end project involving data collection, data cleaning, feature engineering, model building, and deployment.

Apply machine learning techniques like regression, classification, clustering, and deep learning on a real-world problem.

Project Example: Predicting sales trends for an e-commerce company, detecting fraud in financial transactions, or predicting customer churn.

Showcase your project in your portfolio, including source code, project reports, and visualizations.

Portfolio Building Workshop

How to build a strong portfolio to highlight your technical skills, projects, and accomplishments.

Best practices for writing project documentation and preparing your code for sharing with potential employers.

Using platforms like GitHub, LinkedIn, and Personal Portfolio Websites to showcase your work.

Crafting a standout resume and LinkedIn profile tailored for Data Science, Machine Learning, and MLOps roles.

Learning how to tailor your portfolio for specific job roles and industries.

Internship

Practical Experience: Work on a live project for a company or with an industry partner to gain real-world experience in Data Science, Machine Learning, or MLOps.

Internships will be arranged either as part of the training program or through industry connections.

Experience in collaborating on real-world data, solving complex business problems, and integrating models into production systems.

Opportunity to interact with industry experts, enhancing your knowledge and network.

The internship may include mentorship, feedback, and progress evaluation throughout the duration.

Mock Interviews

Industry-Standard Mock Interviews: Simulated interviews with industry professionals to give you real interview exposure.

Receive feedback on your answers, body language, communication, and technical knowledge.

Focused mock interviews on different roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and MLOps Engineer.

Behavioral interviews to prepare for HR and soft-skill-related questions.

Technical problem-solving and whiteboarding sessions to practice coding questions and algorithms

Salary Negotiation

How to Determine Your Value: Learn how to assess your skills, experience, and market value to negotiate your salary confidently.

Salary Trends: Understand salary benchmarks and trends for various roles in the industry.

Negotiation Techniques: Effective negotiation strategies, handling counteroffers, and asking for the best possible deal.

Understanding Benefits: Learn to evaluate job offers beyond the base salary, including benefits like health insurance, stock options, remote work, and career growth opportunities.

Managing Job Offers: How to professionally decline an offer and handle multiple offers at once.

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