Gen AI for Beginners: How to Start immediately

Big Players in Generative AI
Space
Decode the space of Generative AI
Thyself
Niche
https://nichethyself.com
https://www.nitinkapse.com

2
Generative AI Expert
🠶Who would like to know
more about bigger picture
of Generative AI?

3
Rules of webinar
Be Excited Be Open to Learn! Carry Notebook & Pencil
Avoid Distractions Maintain Learning Flow Apply Learnings Get Clarity

6
Long Wave Cycles of Innovation

8
The Magic of Generative AI
Generative AI isn’t just
another tool; it’s the key to
unlocking your potential.”
Things are happening at
faster space due to 3I
● Interest
● Investment
● Innovation
Gartner Impact Radar for Generative AI 2024
https://www.gartner.com/en/articles/unders
tand-and-exploit-gen-ai-with-gartner-s-new-
impact-radar

9
The AI Wave is driven by
▪ Big Companies (Research Labs)
▪ Universities – Research & Innovation Hub
▪ Government – Rules & Regulation (US Election & Elon Mask)
▪ Researchers and Deep Interest
▪ Paris Summit (AI Safety to Responsible AI)
▪ Role of China (Deep Seek) → Model building journey from ~ $60 M to ~ $6 M
▪ Role of NVIDA and its stock prices
▪ The Rise of Agentic AI
▪ India’s positioning (In the latest Budget session, the government allocated ₹500
crore for setting up a Centre of Excellence in AI for education to improve
India's education system by using AI)

10
Big Players in the Game
Model Series Provider Major Funders Notable Details
Claude Anthropic Amazon ($4B), Google, Spark Capital AI safety-focused, uses Constitutional AI
GPT OpenAI Microsoft ($13B), Y Combinator (early support) Powers ChatGPT, integrated with Azure AI
Gemini Google DeepMind Alphabet (Google's parent company) Merged Google Brain & DeepMind AI teams
Grok xAI (Elon Musk) Elon Musk, Tesla, SpaceX, X (formerly Twitter) Integrated with X (Twitter), "truthful AI"
LLaMA Meta (Facebook) Meta Open-source, LLaMA 3 development
Mistral Mistral AI (France) Lightspeed, Andreessen Horowitz, NVIDIA Focuses on efficient, open-weight models
Cohere Cohere Inc. Coatue Management, NVIDIA, Salesforce Ventures Specializes in enterprise AI & RAG
Qwen Alibaba Alibaba Group Multilingual & multimodal AI
AWS (Amazon)
Amazon Web
Services
Amazon AI infrastructure, Bedrock LLM hosting
Hugging Face Hugging Face Sequoia, Lux Capital, IBM, Google Hosts open-source models like Falcon, LLaMA
Copilot (Phi) Microsoft Microsoft (Self-Funded) AI-Powered coding and productivity assistance
NVIDIA AI NVIDIA NVIDA (self-funded) Develops foundational models and AI hardware
YandexGPT Yandex AI Yandex (self-funded) Russian AI Model, Optimized for search & Chat

11 https://azure.microsoft.com/en-us/blog/microsoft-is-a-leader-in-the-2024-gartner-magic-quadrant-for-cloud-ai-developer-services/

12
Fund Allocation for 2025 - $320 Billion
Company Planned AI Investment (2025) Key Focus Areas
Amazon $100+ Billion AI, AWS Cloud Expansion
Microsoft $80 Billion AI Data Centers, Cloud Infrastructure
Alphabet (Google) $75 Billion AI Infrastructure, AI Research
Meta (Facebook) $60-65 Billion AI for Social Media, AI Research
Apple Not disclosed, but increasing
AI-driven Software, AI-powered
Devices
Tesla ~$5 Billion
AI for Autonomous Vehicles,
Optimus Robot
NVIDIA
Not disclosed, but heavily
investing
AI GPUs, Data Centers, AI Software
Ref: https://economictimes.indiatimes.com/news/international/us/tech-giants-to-spend-320-billion-on-ai-in-2025-
meta-amazon-alphabet-microsoft-lead-the-race-what-about-apple-tesla-and-nvidia/articleshow/118068850.cms

13
Research Universities
List of universities Click here
Factor Leading AI Universities (MIT, Stanford, etc.) Indian Universities (IITs, IISc, etc.)
Funding & Investment
Billions in funding from governments, industry, and private investors
(e.g., MIT-IBM Watson Lab, Stanford AI Lab)
Limited AI-specific funding; most research is government-
funded with lower industry investment.
Industry Collaboration
Strong partnerships with tech giants like Google, Microsoft, Tesla,
OpenAI, Meta, and NVIDIA.
Growing partnerships, but mainly with Indian companies or
government initiatives.
AI Research
Infrastructure
Access to supercomputers, AI data centers, and advanced robotics
labs.
Limited high-end AI infrastructure; reliance on cloud-based
resources.
Faculty & Expertise
AI pioneers like Andrew Ng (Stanford), Yoshua Bengio (Montreal), and
Geoffrey Hinton (Toronto).
Few globally recognized AI researchers; expertise is
growing but lacks global reach.
Interdisciplinary
Research
AI research integrates with medicine, neuroscience, economics, and
law.
Limited cross-domain AI research; mainly focused on CS
and engineering.
Talent & Research
Culture
Attracts top AI PhD students and researchers from across the world.
Brain drain—many Indian AI researchers move to
US/Europe for better opportunities.
AI Startups & Patents
Universities incubate AI startups (e.g., OpenAI founders from Stanford
& Berkeley); high AI patent filings.
Startup ecosystem is growing, but AI patent filings remain
lower than global peers.
Government Support
US, China, UK, and Canada have multi-billion-dollar AI policies &
investments.
Indian AI policies exist (e.g., NITI Aayog's AI strategy), but
funding and execution lag behind.
AI Ethics & Regulation AI ethics research is actively funded (e.g., Oxford, Harvard).
Ethical AI research is in early stages; fewer global AI policy
contributions.
Publication &
Conference Presence
Publishes in top AI conferences like NeurIPS, ICML, and CVPR;
dominant in AI citations.
Growing presence in top AI conferences but still lagging in
high-impact paper

14
Top Researcher in AI
Who would like to be in this list?
Andrew Ng - Deep
learning, Coursera
Yann LeCun computer
vision, CNN
Geoffrey Hinton – God Father of
AI, Nobel Price Physics
Demis Hassabi – DeepMind,
Reinforcement Learning, AlphaGo
Fei-Fei Li - computer vision,
ImageNet
Ashish Vaswani – Transformer,
Self-Attention
Yoshua Bengio - Neural
Network
Ian Goodfellow - Generative
Adversarial Networks (GANs)

15
Leading Countries
Country AI Initiatives/Policies Notable AI Advancements/Projects
USA
Strong AI policy support, National AI Initiative Act (NAIIA),
DARPA AI projects
OpenAI, Google DeepMind, Microsoft AI, Autonomous
vehicles, Healthcare AI
China
National AI Development Plan, AI for Smart Cities, AI
Governance
DeepSeek model, Baidu AI, Alibaba AI, Autonomous
vehicles, AI in Healthcare
France AI Ministry, France AI Strategy, AI Research Funding
France AI, DeepMind's French collaboration, AI for
healthcare & defense
United Kingdom UK AI Strategy, AI Sector Deal, AI for Business Fund
DeepMind, AI for healthcare, AI ethics research,
Financial AI
Canada
Pan-Canadian AI Strategy, Government funding for AI
development
Mila, Vector Institute, AI for healthcare, Natural
Language Processing (NLP)
Germany AI Strategy (Platform Industry 4.0), AI Research Centers
AI in manufacturing (Industry 4.0), AI for Autonomous
vehicles
South Korea
National AI Strategy, AI Research Institute, AI Innovation
Fund
AI in manufacturing, Autonomous vehicles, AI for
Smart cities
Japan
AI Research Hub, Society 5.0, AI for Robotics and
Healthcare
AI for robotics, Honda’s autonomous vehicles, AI in
aging population care
India National Strategy for AI (NITI Aayog), AI Task Force
AI for healthcare, Smart cities, AI for agriculture &
education
Singapore
AI Singapore (AISG), AI for Smart Nation, AI Innovation
Fund
AI for smart cities, AI in banking and finance, AI
healthcare solutions

16
Leading AI countries agenda
▪ USA, China, and UK are leading in AI policies, with large government
backing and major contributions to global AI research.
▪ France is unique with its AI Ministry and national-level strategic funding.
▪ Canada and Germany focus on AI in healthcare, autonomous vehicles,
and industrial applications like Industry 4.0.
▪ Asia (Japan, South Korea, Singapore, and India) is investing heavily in
smart cities, AI-powered robotics, and societal challenges like aging
population care and healthcare.

17
Project Stargate (by OpenAI)
▪ The Stargate Project is an unprecedented $500 billion AI infrastructure
initiative being developed in the United States, with a goal to build AI
capabilities over the next four years. It is considered the largest private
investment in AI ever.
▪ The project was announced by Sam Altman (OpenAI) and President
Trump amidst other tech developments like "Benchmarkgate" and
DeepSeek R1.
▪ Investment: The $500 billion investment is being led by OpenAI, SoftBank,
Oracle, and MGX.
▪ $100 billion of the total is being deployed immediately, starting in Texas.

18
Project Stargate (by OpenAI)
• The project’s budget is 2x the entire Apollo Program budget (adjusted for inflation).
• It is 2x more than the combined R&D spending of Meta, Apple, Amazon, Netflix, and
Google in 2023.
• The total investment is approximately equal to the GDP of the UAE.
▪ Partnership Breakdown:
▪ OpenAI: Will manage the AI operations and systems.
▪ SoftBank: Led by Masayoshi Son, SoftBank will handle the investment and financial
operations.
▪ NVIDIA: Responsible for supplying the necessary chips for AI hardware.
▪ Oracle: Will assist in the system's construction and operation, including long-term
maintenance services.
▪ Microsoft: Will remain a partner, with OpenAI continuing to use Azure cloud infrastructure.
▪ Arm: Involved as a technology partner providing additional support for AI-related
technologies.

19
Session Click Geoffrey
Hinton

20
Paris AI Summit 2024 – Key Themes
▪ Key Themes of Paris AI Action Summit 2025:
• Public Interest AI: Developing open AI infrastructure for social, economic, and
environmental benefits.
• Future of Work: Ensuring AI’s responsible use through sustained social dialogue.
• Innovation & Culture: Creating sustainable AI ecosystems, especially for creative
industries.
• Trust in AI: Establishing scientific consensus on AI safety and security.
• Global AI Governance: Shaping an inclusive and effective international AI governance
framework.

21
Generative AI Leaderboards
● Huggingface Leaderboard:
https://huggingface.co/spaces/lmarena-ai/chatbot-
arena-leaderboard
● Leaderboard: https://lmarena.ai/?leaderboard
● Kaggle Leaderboard: https://www.kaggle.com/facts-
leaderboard?utm_medium=email&utm_source=gamma&
utm_campaign=announcement-FACTS

25
Deep Mind Mafia AI
Founder(s) Company Name Area of AI
Demis Hassabis, Shane
Legg
DeepMind (Parent)
General AI Research, Reinforcement
Learning, Healthcare AI
Dr. Laurence Oakley Causal Causal Inference and ML Models
Dr. David Ha Synthego Genetic Engineering and AI
Dr. Richard Socher
MetaMind (Acquired by
Salesforce)
Natural Language Processing (NLP), Deep
Learning
Dr. Shane Legg DeepMind (Incubator focus) AI-based decision making and reasoning
Dr. Raia Hadsell InstaDeep
AI-powered Robotics, Reinforcement
Learning
Dr. Joseph L. Hellerstein Coda
AI-driven Data Management, Cloud
Computing
Dr. Geoffrey Hinton DNNresearch Deep Learning, Neural Networks

26
AI Mafia
From left: Dario Amodei, co-founder and chief executive officer of Anthropic, Aravind Srinivas, CEO,
Perplexity; Ilya Sutskever; Elon Musk, co-founder of Tesla and SpaceX and owner of X Holdings Corp.
Missing Names:
Sam Altman – OpenAI
Greg Brockman –
OpenAI
Demis Hassabis -
DeepMind

27
India Tech
Mafia
Who is next in the list?

28
The Future You: Imagine the Possibilities
● Be the Early Adopter of Gen AI:
"You’ll be the early bird of this wave and belong
to the top 5-10% of Gen AI professionals."
● Transform Automation and Productivity:
"You’ll deliver automation and productivity
that’s smarter, faster, and more reliable than
ever in your job."
● Lead the Bridge Between Traditional and AI-
Powered Workflows:
"You’ll be the innovator who bridges the gap
between traditional workflows and AI-powered
efficiency."

29
The Opportunity: Your Ticket to Staying Ahead
● Companies are adopting AI tools like
ChatGPT, Gemini or Copilot for
automation and improved productivity.
● AI certifications are becoming key
differentiators in tech hiring.
● Demand for AI-skilled professionals is
growing exponentially, with higher salaries.

30
Big Data Big Career - Platform Engineering
∙ Worked as platform engineering regional
(APAC) lead to provision, configure,
upgrade and support more than 40+ big
data CDH & CDP private cloud base.
∙ Lead efforts to onboard and migrate 150+
applications & 1.5+ PB of data from CDH
5.16 to CDP 7.x platform involving end to
end engineering, automation, and L3
support related to platform provisioning,
data migration, capacity planning, pool
configuration, replication strategy and end
working of prod environments.

31
Value Bomb #2
▪ Your environment is bigger than your will power.
▪ Everyone wants to win but not everyone wants to
prepare to win.
▪ Work on roots and not on the fruits.
▪ Your income is directly proportional to your
personal growth.

Service-Based
Industries
02
$375,45
IT Career Experience
Nitin Kapse’s 18+ Years of Successful
Product-Based
Organizations
Startups
Financial services
and Investment
banking
Technical
Training &
Coaching
https://nichethyself.com/

33
Author of Book – Decode Your Career

34
Recommended book to read on AI
https://the-coming-wave.com/

Active Zone
Motivated
But No Direction
Progressive Zone
Motivated in the
right Direction
Existence Zone
Low Motivation
No Direction
Passive Zone
Direction But
No Motivation
Direction
Motivation
Low
High
Decode your IT Career to a progressive zone under the guidance of a credible and
trusted mentor.
Focus Quadrant for IT Career Achievers

36
Value Bomb #4
Your skills & knowledge does matter, and More
than that “Do you have courage & commitment to
make possibilities into reality?”
How many of you are committed to learn
Generative AI to transform your IT Career?

37
Collaborations
▪ Training Brand: https://nichethyself.com/
▪ AI Partner: https://atxlabs.ai/

38
Gifts
Generative AI Certification Notes:
https://drive.google.com/file/d/1BZHLAYE1zZrOuwRv01_UmRbZSSZ3nnYS/view?
usp=drive_link
Join whatsapp group: https://chat.whatsapp.com/CMUpAP8tXf92SWqpSR8K66
Check Playlist: https://www.youtube.com/@progressivenitin/playlists
LinkedIn: https://www.linkedin.com/in/nitinkapse/

Gen AI for Beginners: How to Start immediately

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