• Overview
  • Highlights
  • Andragogy
  • For Whom?
  • Journey
  • Outcomes
  • Platform & Tools Covered
  • Fees & Admissions
  • FAQs
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We are witnessing the focus that executives and industry leaders have on AI. Most companies are working to customise generative AI and deploy it profitably within their companies.

The program is tailored for professionals who wish to augment their knowledge. It is crafted to be accessible, engaging, and, most importantly, applicable.

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HIGHLIGHTS

HIGHLIGHTS

HIGHLIGHTS

HIGHLIGHTS

HIGHLIGHTS

HIGHLIGHTS

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Expert guidance

Expert guidance by Mentors who include technology and industry professionals

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Interactive sessions

Interactive sessions with Engaging dialogues fostering peer and mentor connections

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Skill Development

Diversify your skill-set for multidisciplinary expertise across functions

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Dynamic Andragogy

Experiential learning and practical application of skills

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Experiential Campus

Active & technology-forward campus environment

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Community Building

Networking opportunities with leaders from across industries

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Expert guidance

Expert guidance by Mentors who include technology and industry professionals

feature icon

Interactive sessions

Interactive sessions with Engaging dialogues fostering peer and mentor connections

feature icon

Skill Development

Diversify your skill-set for multidisciplinary expertise across functions

feature icon

Dynamic Andragogy

Experiential learning and practical application of skills

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Experiential Campus

Active & technology-forward campus environment

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Community Building

Networking opportunities with leaders from across industries

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ANDRAGOGY

ANDRAGOGY

ANDRAGOGY

ANDRAGOGY

ANDRAGOGY

ANDRAGOGY

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    Duration : 6 Months
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    Frequency : 2 days a week
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    Location : At ATLAS campus, Mumbai
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    Masterclass workshop at the end of each module
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    Hands-on learning

WHO'S THIS FOR ?

WHO'S THIS FOR ?

WHO'S THIS FOR ?

WHO'S THIS FOR ?

WHO'S THIS FOR ?

WHO'S THIS FOR ?

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    Any student with a 10+2 certification

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    Undergraduate students pursuing a bachelor's degree/diploma

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    Individuals with a degree or equivalent diploma in any field

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    Technology Professionals: Software engineers, and other tech professionals

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    Creative Professionals: Artists, designers and creators who are interested in exploring AI as a tool for creative expression and innovation

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    Hobbyists and AI Enthusiasts: Individuals with a keen interest in AI and technology trends who want to learn more about the capabilities and implications of generative AI

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    Marketers, HR and other corporate executives across different industries looking to upskill

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    Designers, visual artists and creative individuals with multi-disciplinary interests

JOURNEY

JOURNEY

JOURNEY

JOURNEY

JOURNEY

JOURNEY

  • Introduction to the structure and objectives of the program and establish connections with their peers and instructors, setting the foundation for their learning journey

  • Overview of AI as a technology, generative AI, the different types of machine languages and generative AI models

  • Learn about the history of AI development, what is considered intelligent, and introduction to a chatbot as a basic AI product

  • Know about the different AI products and tools available that can help, such as AI assistants, robo-advisors, chatbots and more

  • Development of a strong foundation in the ways AI can be used to augment creativity through photos, music, editing, writing, and more

  • Holistic view of natural language processing (NLP) and how they help with generating AI-led outcomes for business problems

  • Understanding of the different ethical issues surrounding AI, such as data privacy, data farming, regulatory mechanisms, transparency, and bias mitigation

  • Introduction to a wide range of digital AI tools RunwayML, Amper, Descript, Shortly Read, and Hugging Face, including hands-on demos

  • Know how different types of organisations are implementing AI in their value chains, including live case studies

  • Learn about the different applications of AI in business, in various stages of experimentation and execution, including prediction, optimisation, and personalisation

  • Know how generative AI tools are being used to auto-generate content, with tools such as Synthesia, Murf.ai, Amper and AIVA

  • Learn about the various ways in which AI is revolutionising animation technologies through procedural techniques and automation

  • Introduction to no-code AI platforms and understanding of how to use these platforms to build apps and solution projects

  • Awareness and overview of advanced neural architectures and the latest academic discussions on AI and its development

  • Build a solution to a real-world problem using the different AI tools taught in the course, including RunwayML and Anthropic

  • Review quizzes and career planning
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OUTCOMES

OUTCOMES

OUTCOMES

OUTCOMES

OUTCOMES

OUTCOMES

01

Foundations of Generative AI: In-depth knowledge of different types of generative AI, machine learning paradigms, natural language processing and related technologies

02

Technical Skill Development: Exposure to AI tools and platforms being used across the industry, such as Claude, RunwayML, Amper Music, and Shortly Read.

03

Knowledge of AI Ethics and Implications: Learn about the ethical considerations, societal impacts, and responsible use of generative AI technologies.

04

Hands-on Project Experience: Engage in practical projects that provide hands-on experience in designing, training, and deploying generative AI models.

05

Current Trends: Stay abreast of the latest trends, research findings, and advancements in the field of generative AI.

06

Problem-Solving and Critical Thinking: Enhance problem-solving and critical thinking skills, especially in applying generative AI to real-world scenarios.

01

Foundations of Generative AI: In-depth knowledge of different types of generative AI, machine learning paradigms, natural language processing and related technologies

02

Technical Skill Development: Exposure to AI tools and platforms being used across the industry, such as Claude, RunwayML, Amper Music, and Shortly Read.

03

Knowledge of AI Ethics and Implications: Learn about the ethical considerations, societal impacts, and responsible use of generative AI technologies.

04

Hands-on Project Experience: Engage in practical projects that provide hands-on experience in designing, training, and deploying generative AI models.

05

Current Trends: Stay abreast of the latest trends, research findings, and advancements in the field of generative AI.

06

Problem-Solving and Critical Thinking: Enhance problem-solving and critical thinking skills, especially in applying generative AI to real-world scenarios.

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01

Capstone project: Demonstrable outcome of your learning,that can be implemented/used in live projects.

02

Enhanced Job Opportunities: Open doors to new job opportunities in industries actively using AI, like tech, entertainment, marketing, and design.

03

Skill Diversification: Diversify your skillset, making you more valuable to employers who are looking for multidisciplinary expertise across functions.

04

Entrepreneurial Ventures: Equip yourself with the knowledge and skills to start your own ventures or projects that leverage generative AI technologies.

05

Strengthening Professional Networks: Strong alumni, peer learning and community building within the industry.

01

Capstone project: Demonstrable outcome of your learning,that can be implemented/used in live projects.

02

Enhanced Job Opportunities: Open doors to new job opportunities in industries actively using AI, like tech, entertainment, marketing, and design.

03

Skill Diversification: Diversify your skillset, making you more valuable to employers who are looking for multidisciplinary expertise across functions.

04

Entrepreneurial Ventures: Equip yourself with the knowledge and skills to start your own ventures or projects that leverage generative AI technologies.

05

Strengthening Professional Networks: Strong alumni, peer learning and community building within the industry.

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TOOLS COVERED

TOOLS COVERED

TOOLS COVERED

TOOLS COVERED

TOOLS COVERED

TOOLS COVERED

Platforms & Tools Covered

ADMISSION & FEES

ADMISSION & FEES

ADMISSION & FEES

ADMISSION & FEES

ADMISSION & FEES

ADMISSION & FEES

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Step 01

Complete the online form with personal and professional detail

Step 02

Review and shortlisting of candidates

Step 03

Personal interview

Fees

Total Fees: INR 3,00,000 + taxes

  • The fee does not include laptop, travel expenses and other incidental expenses.
  • Fee structure
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01
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Step 01

Complete the online form with personal and professional detail

Step 02

Review and shortlisting of candidates

Step 03

Personal interview

Fees

Total Fees: INR 3,00,000 + taxes

  • The fee does not include laptop, travel expenses and other incidental expenses.
  • Fee structure

Once admission offers are rolled out, selected candidates will be notified, and the next steps will be outlined.

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BROCHURE
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BROCHURE
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FAQS

FAQS

FAQS

FAQS

FAQS

FAQS

The program is ideal for undergraduate students, diploma holders, professionals in advertising/marketing, and anyone interested in enhancing their career with Generative AI. It caters to technology professionals, creative individuals such as artists and designers, hobbyists, and AI enthusiasts interested in exploring the capabilities of generative AI. Moreover, it provides valuable upskilling opportunities for marketers, HR professionals, corporate executives, and those with multi-disciplinary interests in design and visual arts.

There are no specific academic prerequisites other than basic computer profriency with a 10+2 certification.

This program is open to individuals with 10+2 certification, undergraduates, degree/diploma holders in any field, technology professionals, creatives, hobbyists, and AI enthusiasts.

The program is designed to provide a comprehensive understanding of generative AI, covering key modules. The curriculum addresses ethical considerations, explores practical applications of generative AI using various tools, and examines AI's role in academia, corporations, and business. Specific modules cover AI in content generation, animation, and building with no-code AI platforms. The program concludes with an exploration of advanced generative models, a capstone project presentation, and a thorough review of acquired knowledge and skills.

The duration of the program is structured over 6 months of comprehensive learning and practical work.

Upon completion, participants become part of an alumni network, offering access to a community of professionals, ongoing learning opportunities, and potential collaborations.
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