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Good Length pitching for start-ups Course

You need a solid startup pitching strategy if you want investors, customers, and partners. Many startups have trouble explaining their ideas well, hurting their chances of getting money and growing. This course will teach you how to pitch a presentation that grabs people’s attention and gets your point across. If you learn pitching well, you’ll have a better chance of getting funded and noticed.

No Cost EMI

Starts at Rs. 1299

Start Date

Starts at Rs. 6,458

Duration

1

Hrs

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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 Good Length Pitching for start-ups course

Course Snapshot

Hours of Learning
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Industry Projects
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GenAI Tools
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This course teaches you everything about startup length pitching, from creating a great pitch deck to giving presentations that win people over. You’ll learn how to structure your pitch so it grabs attention, shows off your business’s worth, and lets you confidently talk to investors. Lots of hands-on practice and expert advice will ensure your pitch sticks in people’s minds. If you want money or need to improve your business plan, this course helps you nail a pitch that works.

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Why Take Our Good Length Startup Pitching Course?

Our Pitching Course shows you how to make great pitches that excite investors about your startup and help your company grow. You’ll learn the skills to present your idea and get the money you need confidently.

Key Highlights of the Good Length Pitching for start-ups Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Get good at making startup pitches that people will listen to, and say them like you mean it. Learn how to talk to investors, build a pitch deck that gets results, and make your business idea sound good.

Looking to get investors, partners, or just more customers? This course teaches you how to make a pitch that people will listen to. You’ll learn how to confidently present your startup and leave a remarkable impression.

Good pitching can help you get funding, partners, and even leadership positions in the startup world. This course will give you the confidence to pitch your ideas well and advance your career.

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

Learn To Pitch Your Startup Like A Pro

Begin your pitching journey today! Gain in-demand good-length pitching skills, get the funding you need, and grow your business.

Earn Valuable Credentials And Recognition

Enhance your credentials with an industry-recognized certification in Business Accounting.



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Key Highlights of Generative AI Course

Earn valuable credentials and recognition

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

Courses

Meet Our Expert Team

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

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

World-Class Curriculum

Master pitching with A World-Class Curriculum

Want to learn how to pitch your startup like a pro? Using proven methods and real examples, we’ll teach you how to nail your presentation and get investors interested.

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:

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

Instructors

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

Course Highlights

Skills You'll acquire

Effective Pitch Delivery

Winning Pitch Deck

Audience Engagement Skills

Confident Q&A Handling

Compelling Storytelling Strategy

Clear Business Communication

Startup Fundraising Knowledge

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

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

Pitch Your Startup with Confidence!

Learn to craft a clear, compelling pitch that commands attention. Then, develop the skills to win over investors and raise funds.

FAQ

Frequently Asked Questions

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

Is this course beginner-friendly?

Absolutely! This course helps total beginners learn pitching step by step.

Yes, you’ll get a certificate once you finish, which could help you land a job.

Yes, you can get help from experts, chat in forums, and use help desks if you have questions regarding pitching for startups.

If you want to learn pitching for startups, do not hesitate to join us.

This course teaches you to make a startup pitch that grabs people’s attention. You’ll learn to build a solid pitch deck, speak clearly, and win over investors.

Unlock Your Future – Apply Now and Jumpstart Your Career!




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