Generative AI for Enterprise Application


The course is designed for management graduates, corporate professionals, and data practitioners to learn using GenAI, prompt engineering, and LLM handling to ideate, develop, and deploy business applications by leveraging the GenAI capabilities. Regulated use and corporate governance are important aspects for consideration during GenAI deployment by organizations. The course covers various topics on ethics and governance of using GenAI

Batch Size: up to 50

₹ 1100/- ₹ 1900/-

Start a EMI with just ₹ 367/month (3 Months)
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Hands-On Exercises

GenAI tools

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Real-World Business Application

Operational use cases

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Democratizing GenAI

For tech and non-tech professionals

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Cutting Edge

Get familiar with emerging trends

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Generative AI for Business Application

GenAI can be used for business applications however few concerns regarding data security, fine-tuning using internal data, and organizational policy need to be addressed. The Zero Code course on Generative AI for business applications is designed to meet this objective. Young graduates, business professionals, and corporate executives are required to get familiar with several capabilities, limitations, and possibilities of applying Gen AI. This course will help the participants to get a broad application view of AI to develop the mindset to innovate and ideate use cases in their area of work. 

 

Program Highlights

Explore key features and benefits that set our program apart.

Hands-on using GenAI tool

Industry relevant problems

Sessions by industry experts

Insight on Emerging trends

Application Deadline 20 September 2024

Our Students Work At

Technologies we work with

Mentors / Faculty

Guiding you with expertise and insight on your learning journey.

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Vineet Srivastava

Head - Partner Program - IIT Roorkee :

Serial entrepreneur in Deep Tech, IT, and digital Transformation technologies. Built products, IP & platforms and successfully introduced to the market. Built profitable businesses. Functional expert in strategy, product creation, delivery, and marketing. Last corporate role with Philips Electronics.

V. Padmaraj

Head - Faculty Consulting - MIT, University of Florida, IIT Madras :

25 years of engineering & technical experience in building solutions using engineering design, data analytics, machine learning & business intelligence, Industry 4.0, IOT & M2M focus to enable data collection, big data.

Gaurav Gupta

Head – Platform, Alumni - IIM Bangalore, IIT Roorkee :

Responsible for developing and delivering training modules at Zero Code. 20+ years of industry experience  in managing technologies in Intel, and Siemens with expertise in supply chain solutions, Machine Learning, Innovation, and Automotive Design Solutions.

Gayatri Sahasrabuddhe

Principal Data Architect - IIT Bombay :

20+ years of experience in Data Management and Data Architecture. Expertise in Master Data Management, Metadata Management and Analytics solutions. Led digital transformation initiatives at Intel, spanning across Sales & Marketing domains, focusing on building scalable data platforms.

Vineet Srivastava

Head - Partner Program - IIT Roorkee :

Serial entrepreneur in Deep Tech, IT, and digital Transformation technologies. Built products, IP & platforms and successfully introduced to the market. Built profitable businesses. Functional expert in strategy, product creation, delivery, and marketing. Last corporate role with Philips Electronics.

V. Padmaraj

Head - Faculty Consulting - MIT, University of Florida, IIT Madras :

25 years of engineering & technical experience in building solutions using engineering design, data analytics, machine learning & business intelligence, Industry 4.0, IOT & M2M focus to enable data collection, big data.

Gaurav Gupta

Head – Platform, Alumni - IIM Bangalore, IIT Roorkee :

Responsible for developing and delivering training modules at Zero Code. 20+ years of industry experience  in managing technologies in Intel, and Siemens with expertise in supply chain solutions, Machine Learning, Innovation, and Automotive Design Solutions.

Gayatri Sahasrabuddhe

Principal Data Architect - IIT Bombay :

20+ years of experience in Data Management and Data Architecture. Expertise in Master Data Management, Metadata Management and Analytics solutions. Led digital transformation initiatives at Intel, spanning across Sales & Marketing domains, focusing on building scalable data platforms.

I. Introduction to Generative AI

  1. GenAI Overview
  2. Landscape, and Limitation of GenAI
  3. GenAI for Business Analytics
  4. Exercise

II. GenAI Tools at a Glance

  1. LLM settings
  2. GenAI Tools
  3. Discriminatory & Generative Models
  4. Hands-on Case on Storytelling

III. Democratizing GenAI: Leveraging Prompt Engineering

  1. Introduction to Prompt Engineering
  2. Considerations for Prompt Design
  3. Hands-on with GenAI Tool, fine-tuning

IV. Business Applications of GenAI: Case Analysis using Tools

  1. Analyze customer churn
  2. Analyze the balance sheet 

V. Responsible AI: Beyond GenAI

  1. Areas not suitable for GenAI application
  2. Emerging trends in GenAI

VI. Guiding AI Use for Governance at Workplace 

  1. GenAI governance framework for organizations
Course Fee

₹ 1100/-

₹ 1900/- Apply Now

Placement Assistance

Placement Eligibility Test

Profile Building Sessions

Career Guidance Webinars

Frequently Asked Questions

Your go-to resource for assistance and detailed information.

Zero code courses are uniquely designed for programmer and non-programmer learners of data science and machine learning. These courses are integrated with ML and GenAI tools which are accessible to the participants. The data-driven exercises and cases are done by the participants using these tools. 

Industry trends suggest that jobs are being created for those who can work with the code, debug, and develop newer innovative use cases of machine learning. However, the critical part remains to apply the analytics techniques and machine learning concepts so that interpretation can be done for the business outcome. Here comes Zero Code which helps learners develop skills in solving business problems using analytics techniques and machine learning. Lastly, Zero Code offers the option to write Python code if one is new to coding.  

Zero Code helps students to build resumes, prepare for interviews, and provide access to a professional network. Besides, our support team works with corporates on data science consulting to enable placement. Zero Code also offers internship opportunities for suitable students to undertake industry projects. 

This course takes a hands-on approach, using real-world business problems and practical examples. With Zero code models, you will apply advanced machine learning without needing any programming skills. The focus is on solving actual business challenges using data analytics, Which is critical in today's fas-paced, data-driven industries.

No, programming isn't necessary. The course uses Zero code tools, allowing you to concentrate on business insights rather than coding. it's designed for professionals from all backgrounds, making it accessible and straightforward.

You'll receive live guidance from industry experts, including faculty from IIT and MIT, during interactive classes. On top of that, there's email and WhatsApp support available throughout the course, so you're never left wondering.

The course offers a hybrid format, with live evening classes via Microsoft Teams. Classes begin on October 15, 2024, with a total of 14 interactive sessions. The flexible schedule allows you to balance work commitments while mastering advanced business analytics.

Absolutely! We offer career guidance, profile-building workshops, and placement eligibility tests to help you make the next leap in your career. Many past participants have progressed into leadership roles.

Yes, you'll earn a certificate upon completing the course and its assessments. This certificate is widely recognized and earns 6.5 NCRE credits approved by Swayam Plus, adding real value to your credentials.

You'll use Zero Code tools to tackle data-driven exercises and real-world case studies. These sessions are supervised by the faculty to give you practical, industry-relevant skills without the technical complexities of coding.

The course is suited for working professionals, MBA students and data analytics enthusiasts. Although prior experience in analytics helps, it's not mandatory. The course is designed to cover all foundational aspects.

Don't worry! All live sessions are recorded and accessible whenever you need. You'll also be able to engage with instructors if you need extra support or questions.