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AI Bootcamp Course

Learn more about AI Tools through our AI Bootcamp course. It is natural to have so many questions in your head, like what these AI tools are capable of?. This course is the exact answer to this question. This course will walk you through the fundamentals of each AI tool. Build a solid foundation in common AI tools to make your life easier.

Online Fees

Starts at Rs. 5000

Hours of Learning

72 Hours

Duration

3

Days

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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 AI BootCamp

Course Snapshot

Hours of Learning
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Industry Projects
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GenAI Tools
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An AI Bootcamp course is a quick and practical program aimed at giving you real skills in artificial intelligence. You’ll get to dive into areas like machine learning and generative AI, working on actual projects and learning from experts in the industry. This program will give professionals the knowledge and skills they need to use the latest AI tools. The emphasis is on practical use and getting hands-on experience. This course will help businesses grow and innovate. You will be familiarised with Gamma AI, Chatgpt, Gemini AI, Copilot, Notion AI and many more AI Tools.

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Why Choose the AI Bootcamp?

Gain practical AI skills you can apply immediately in your career. Learn from experienced industry professionals who are there to guide your growth and help you succeed in the field.

Key Highlights of AI Bootcamp

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Learn the fundamentals of AI, including model building, deployment, and performance tracking, to simplify complex workflows and drive smarter decision-making across industries.

The AI Bootcamp course is for anyone who wants to get into artificial intelligence. It helps people learn how to use AI tools, build AI models, and apply machine learning skills, so they can stay up-to-date in an industry that’s increasingly focused on AI.

When you finish the AI Bootcamp course, you can look into jobs in AI development, data analysis, or machine learning. These skills can lead to different roles in various fields, allowing you to work on AI solutions, improve business operations, and push for new ideas in technology.

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

Kickstart Your AI Bootcamp Journey Today

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.

Earn Recognition With AI Bootcamp Certification

Get an AI Bootcamp certificate to show what you know about AI and machine learning. This can help open up more job options in data science, AI development, and tech-related fields.

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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
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CA Ashna Bharath Pillai

Business & Tax Regulatory​

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CA Ashna Bharath Pillai

Business & Tax Regulatory​

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CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

World-Class Curriculum

Master AI Bootcamp with A World-Class Curriculum

Learn how to use AI tools like Chatgpt, Canva AI, and Microsoft Copilot from experienced pros. This will help you boost your tech career. Get practical skills to work with AI apps and improve your productivity in different fields.

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

Instructors

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Abin Varghese

Chief technology officer

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Pinky Mohan

Senior DM Trainer

sreejith

Sreejith T

Digital Marketing Trainer

AI Bootcamp Highlights

Skills You Will Acquire

Ethical AI Usage

PPt Generation

AI Research

Task Automation

Content Generation

Workflow Integration

Design Creation

AI Bootcamp 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

AI Bootcamp 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 in the form on Finprov’s official site

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

Master AI Bootcamp and simplify AI Tools!

Build real-world confidence and stay ahead of the curve by learning in-demand AI tools from industry experts. Step into the growing world of AI with hands-on skills that can kickstart your tech-driven career.

FAQ

Frequently Asked Questions

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

Who can enrol in this course?

This course is open to anyone wanting to get exposed to AI tools in detail.

This course is open to anyone wanting to get exposed to AI tools in detail.

Yes, you’ll receive a certificate of participation that shows you’ve completed the AI Bootcamp.

No! We’ll guide you through it all in real-time. Just make sure you have your laptop, a good internet connection, and a Google account handy.

You’ll gain AI skills that you can use right away, helping you save time, think more creatively, and keep up in this tech-driven world.

Get Your Course Syllabus

Download a detailed syllabus with course information, key topics, module breakdowns, assessment criteria,  and more.

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