Professional Skill Development Online Course - Finprov

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Professional Skills Course

Let’s understand specific professional skills and become an expert in them. Even if you possess basic technical skills, you must present them before an employer, which is a tedious job. It is a fact that the phenomenon stated above is far more complex than acquiring the skills themselves. Finprov’s professional skills course enhances your communication and confidence, helping you stand out in any job interview.

No Cost EMI

Start Date

Starts at Rs. 6,458

Duration

0.4

Hrs

Choose Your Perfect Course

Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

Introduction to Professional Skills Course

Course Snapshot

Hours of Learning

0 +

Industry Projects

0 +

GenAI Tools

0 +

Finprov has a quick, self-study course where you can get help from pros. It’ll help you talk better and be a better leader. You’ll also learn to handle your time, think smart, and give great presentations. It’s a great way to learn about the tools people use at work. Plus, you’ll get real-world practice so you can nail your interviews.

Why Choose this Course?

This course can really help you feel more confident and speak better. You’ll get advice from a pro and practice your interview skills, which should help you land a job.

Key Highlights of Professional Skills Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Being able to talk to people well
Leading and working with a team
Managing your time
Fixing problems and thinking smart
Negotiating and settling arguments
Giving presentations
Understanding people's feelings
Being able to change and be flexible

Acquire skills that allow you to communicate confidently, clearly, and professionally within personal and workplace settings.

This course is for anyone who wants to get better at their job, no matter if you’re a student, worker, or business owner. Finprov will help you build skills in talking to people, leading, and fixing issues, which will help you do well in any job.

With these skills, you’ll be set to do great things in your career, no matter where you go!

Generative AI Models
Transformers
ChatGPT
Prompt Engineering
Product Development
Product Development
Deploy Web Apps with Flask

Students must have completed Plus Two or a higher level certificate to be eligible for the skills course.

Become a Skilled Leader

Students must have completed Plus Two or a higher level certificate to be eligible for the skills course.

Advance your career with in-demand skills

Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review

Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

WhatsApp Image 2025-01-10 at 15.32.20

WhatsApp Image 2025-01-10 at 15.32.20

Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals

CA Ashna Bharath Pillai

Business & Tax Regulatory

CA Ashna Bharath Pillai

Business & Tax Regulatory

CA Ashna Bharath Pillai

Business & Tax Regulatory

CA Ashna Bharath Pillai

Business & Tax Regulatory

World-Class Curriculum

Master Skills with a World-Class Curriculum

Unleash your maximum career potential with our top-tier curriculum.Boost your career by growing your skills

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Different types of interviews and what to expect

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Writing a good cover letter

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

How to make your resume stand out

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

What to do before an interview

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Things you shouldn't say during an interview

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Instructors

Skills Course Highlights

Skills You Will Acquire

Effective Communication Skills

Leadership and Management

Time Management Techniques

Problem-Solving Strategies

Critical Thinking Ability

Teamwork and Collaboration

Negotiation and Persuasion

Digital Marketing Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

Group 1171274777

Group 1171274778

Group 1171274779

Group 1171274780

Digital Marketing Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Fill the Application Form

Fill out the application form on the upGrad portal

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - Digital Marketing and Communications

Learn from Seasoned Industry Practitioners

Act Like a Pro!

Get help from skilled professionals to improve your speaking skills.Gain the confidence you need to talk to anyone, anywhere.

FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

What is this skill program meant for?

Dedicated Student Support Team

Get help anytime through the learning helpline.

Access the ‘Call Back’ option for urgent queries regarding the Generative AI program.

Who can register for this skills course?

Get quick doubt resolution from peers, teaching assistants from the Gen AI training course

Receive personalized feedback on assignments and case studies

How can the skills course help my career?

Get specialized feedback on projects/assignments

Attend regular live classes by experts to address doubts regarding Generative AI courses

Can I take these courses online?

The application journey is simple and straightforward, and can be completed in three easy steps.

Do these courses offer certifications?

Absolutely! This Course offers valid certifications.