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Creating AI Subject - Matter Experts

For sectors from Real Estate to
Healthcare and Technology.
AI Pioneers Institute,Dubai
AI Device
The Need for Subject Matter Experts to Lead Change

The Need for Subject Matter Experts to Lead Change

In this upcoming AI revolution over the next few years no field will be able to function in its current form and AI will lead the transformation to achieve better efficiency, quality, and lower cost.

AI Agriculture

Water Conservation, climate optimised farming to achieve maximum harvest

Forest and Animal Conservation

Forest and Animal Conservation, and safety of citizens.

AI Industry

New Industry to achieve better quality, and efficiency meeting demand.

AI Transport

Future of transport, surveillance, and management of demand and supply

AI Medicine

Future Precision Medicine/Diagnosis, Nanobots based immortality.

AI Retail

Personalized shopping blending, virtual and physical experience to minimise losses.



Current Methods Not Sufficing to Fill Talent Gap

Current Methods Not Sufficing to Fill Talent Gap

B-Tech is Dead? Should you consider persuing B-tech in 2023

Unemployment rate highest among graduates under 25 yrs, finds report on 'State of Working India'

The Report by Azim Premji University finds that upward mobility has increased & caste-based differences have shrunk, as has gender disparity across labour markets.

AI/ML skills, talent gaps widen with accelerating innovation: Skillsoft
Why skills - not degrees - will shape the future of work

Sept 21, 2020

36% of IIT Bombay graduates fail to get placement, says report
Employees see AI driving organisations in 4 years; talent shortage stands out despite learning interest, says survey
Employers in India prepare for AI-driven future, valuing AI skills. AWS survey reveals expectations and benefits across departments. 11 Mar, 2024, 11:31 AM IST
AI talent war heats up in Europe
The competition for technical talent in Europe's AI industry is heating up as startups like OpenAI, Cohere, and Anthropic vie for the same pool of talent. 11 Mar, 2024, 11:51 AM IST
Skilling

Employers cannot find enough skilled AI workforce: Amazon report

Applied Learning AI Centre

Applied Learning AI Centre as a Solution

Transform learning outcomes by bringing Applied and Experimental Learning to develop skill of doing, and skill of creating an AI Transformation.

Teach Application Areas

Showcasing projects experientially to develop deep understanding of the way of working of Artificial Intelligence within field.

Allowing students to Experiment

Allowing students to work in a futuristic low to no code manner to allow AI to be accessible.

Exposure to Latest Technologies

Provide exposure to latest technologies in a plug and play fashion through integrated software.

AI Face
Learn
Experiment
AI Lab AI Core
Create
Fitness AI Object Detection Virtual Try On
Customer Groups & Courses

Customer Groups of Interest

Below are the customer buckets with various paying parity.
1. School students looking to be equipped with Artificial Intelligence.
2. Executives looking to up skill for better pay and transition across.
3. College students looking for hands on skill, and differentiation.
4. Prospective entrepreneurs looking to create startups in AI and innovate.
5. SMEs, and MSMEs looking to innovate or looking for special AI talent.
6. Governments, and Corporates looking for specialised trainings and SMEs.

Applied Learning Courses

Industry Specific Courses for Executive, and Students

  • Courses like AI for Real Estate, Healthcare, and Beyond catering to applied AI talent to create solutions, plan subject related interventions, and champion AI change within organisations .
  • These would not require previous experience in AI.

Innovation Related Courses for AI Solution Creation

  • Here the courses would be pipeline based and oriented to achieve the goals of creating new solutions equipping students with latest AI knowledge,strategy for creation of products,and then pipelining them into innovation and startups..
  • College Students, or Budding Entrepreneurs.

School, and College AI Teaching for Various fields

  • This would be outsourcing teaching of AI curriculum for colleges and schools students,and allow them to learn to achieve their goals and requirements with credits.
  • As curriculums shape and new approaches develop,tried and tested proven approaches will champion the learning.

Course Details as per Time

Detailing out course matter covered based on duration of Course

3 - 7 Day

Smaller intro to field courses showcasing applications,bring about thinking in AI, and show the way forward of creating solutions.

1 Month

Hands on learning of actual solution development, critical thinking in AI, and applying AI to various fields solving problems.

3 - 6 Month

Catering to learning for various requirements of AI field related jobs of testing, developing, and executive education.

1 Year

Programs that go along with curriculum to build hands on skill in addition to theory for school children, and college students.

AI Centre Presentation

Sample Courses for Different Sectors

1. Innovation and AI Entrepreneurship

  • Duration: 6 Months
  • Focus: Building startups, developing AI products,and navigating funding, market challenges.
  • Outcome: Entrepreneurs will have a business plan & a prototype ready for pitching to investors.

2. Data-Driven Innovation for Business

  • Duration: 3 Months
  • Focus: Training on AI-driven data analytics,market insights, predictive modeling for strategic business planning.
  • Outcome:Students will learn to identify markket trends and make data-backed decisions.

3. Introduction to AI in Healthcare

  • Duration: 7 Days
  • Focus: Basics of AI in diagnostics,patient mangement,and operational efficiencies in healthcare.
  • Outcome: Medical professionals will be eqipped with foundational AI tools to improve patient care.

Sample Course AI in Media 4 Days

Day 1: Introduction to AI in Media

  • Learning Outcome: Understand the foundational concepts of AI and it's applications in media.
    • 1.1 Overview of AI in media:Past,Present, and Future.
    • 1.2 Key AI Technologies: Machine Learning(ML), Natural Language Processing(NLP), and Generative AI
    • 1.3 Case studies: Netflix, Spotify
  • Practical Component: Participants analyze AI-driven media products to identify use cases and impacts.

Day 2: AI for Content Creation

  • Learning Outcome: Explore AI tools for creating written ,visual,and audio content.
    • 2.1 AI for Text Generation: Blog posts,articles, and scripts
    • 2.2 Visual Content Creation: AI-generated graphics and video editing
    • 2.3 Audio Content: AI in music composition and podcast editing
  • Practical Component: Hands-on experience with tools like ChatGPT,DALL-E,and Adobe Sensei to generate media assets.

Day 3: Automation in Media

  • Learning Outcome: Understand how AI automates media production and operations.
    • 3.1 AI for Video editing & Post-production
    • 3.2 Automated News Generation:From data to headlines
    • 3.3 Workflow Optimization: Streamlining processes in studios and agencies
  • Practical Component: Use AI video editing software to automate a simple video production task.

Day 4: Ethics Considerations & Challenges

  • Learning Outcome: Explore the ethical implications of AI in media.
    • 4.1 Deepfakes & Content Authenticity
    • 4.2 Addressing Bias in AI Algorithms
    • 4.3 AI Governance & Regulation in Media
  • Practical Component: Participate in a debate or workshop on ethical dilemmas in AI-driven media practices.

Benefits of Conducting the Courses

1.Exposure to Latest AI-Effienciency of Staff/Talent
  • Can do job better and achieve higher efficiency through using AI warranting promotion and greater job demand
  • Can take up additional AI specifc activity forming in oraganization and lead transformation.
2.Hands On Skill-Role Change
  • Hands on skill to create new technologies and solutions to problems in business.
  • Transition to new career and role within organization or outside.
Pathway to Innovation
  • Learn and create technology that is presented to investors for funding or internal acceptance.
  • Transition towards enterpreneurship with ease.


Our Differentiation from Competition

Experiential Learning
Tangible Outcomes
Market Aligned Curriculum

Unique Experiential AI Learning Labs:
Using specialised AI learning methodology with practical learning equipments across the classrooms to facilitate learning with ease,and make learning accessible across age groups.These will be across areas of AI including Computer Vision, Interaction AI,and Metaverse AI.

Proven Record: Model,teaching,and curriculum have been successfully proven,tested at the prestigious Mayo College Ajmer which has global recognition with countries accepting model and exemplary leadership.

Curriculums aligned with SME demand: Catering to actual,exact outcome oriented learning for various fields to create subject matter expects to pioneer transformation within fields,not been done by other companies focusing on theory or using ChatGPT..



Uniqueness of our Centre

  1. Classroom Structure
    Classroom equipped with specialised equipent apart from Standard Classroom Setup pf computers,WI-fi and such.
  2. Specialized Equipment as below
    • Integrated Hardware as one unit with input devices(visual,sensors),Computer for equippment(AI Brain Holding Infra),Micro controllers,IOT enabled devices as per choice(AI mirror,displays,Metaverse headsets,and,...).
    • Integrated Software with pre built working latest AI models with code, runnable with various inputs on outputs, know how of working to grasp in 2 mins,deployment procedure, and datasets working as one unit.
    • Ability to add custom created models easily based on pre decided limitations/specifications.
    • Equipment Life 7-10 Yrs with Independent Components Upgradable
What can you do with equipment?

What can you do with equipment?

Equipment is inspired from the best research labs in the world focused on allowing access to latest knowledge in an ever changing AI field easily, seamlessly, and at speed, and to build knowledge through research, projects, and learning. Below are 3 core features

1. Run and learn any loaded existing model
  • Access and learn latest researched AI Models in 2 Minute Understanding Material, with use cases, achievements, running specifics, and more.
  • Access to always working relevant files including code/notebook, data sets, model file, sample output, to speed up research discovery.
2. Edit parameters, test, and see working
  • Change parameters of input and test, and verify models available on system, and understand their usability. This includes prediction classes, model specifics, frame rates, and other tangible parameters.
  • Compare and contrast architectures for use cases in parallel on different inputs.
3. Create new models and test live for real world knowledge
  • Create and Load New Models into system in a simple UI based process to upload your models.
  • Align inputs, outputs, and other integrated system equipment to work with your model seamlessly for faster research and integration.
  • 10 x boost in research speed, and outcomes.

Go Live Strategy - Timeline

Initial Centre Location- Month 1
Finalise Initial Centre of about 5000 square feet with 6 classrooms as trademark.
Setup & Installation- Month 4
Equipping classoom,importing Applied AI equipment, furnishing.
Recruitment & First Batch- Month 5
This will overlap during setup time and ensure we have apt staff and students ready.
Commencement of Batch- Month 5
Commencement of first batch of students to learn and be certified with custom accreditation
Brand Established- Month 9
By month 9 we should have the revenue,best selling courses, local success story.
Scaling to 10 Centres- Month 12
On our 1 year completion we will scale to 10 centres with success to scale revenues


Why Now?

  1. Dubai In Making As An Education Hub
  2. Lack of AI Experts In Market And Talent Demand High
  3. AI Market Growing At Large Rate
  4. Set As Priority For Government With Large Spending
Summary