Why Getting AWS AI Certified is Easier (and More Important) Than You Think !
Numbers never lie...
1. The AI market is booming: The global AI market is expected to grow from $515 billion in 2023 to an estimated $1.8 trillion by 2030, at a CAGR of over 37%.
2. Demand for AI professionals is skyrocketing:LinkedIn reports a 74% annual growth in AI-related jobs globally, ranking AI specialists among the top emerging careers.
3. AI adoption is everywhere: A McKinsey report states that 50% of companies have already integrated AI into at least one business function, with industries like manufacturing, healthcare, and finance leading the way.
4. Generative AI is driving transformation: Tools like ChatGPT, DALL-E, and Bard are projected to contribute an estimated $4.4 trillion annually to the global economy.
5. Skills gaps are growing : Gartner highlights that 56% of business leaders identify the lack of skilled AI talent as the biggest barrier to AI adoption.
6. Employers are willing to pay 43% more to hire AI-skilled professionals in sales and marketing, 42% more for those in finance, 41% more for business operations, and 47% more for IT professionals. (Source AWS)
7. Despite these opportunities, many professionals feel overwhelmed by the technical complexity of AI.
8. That’s where the AWS Certified AI Practitioner program steps in. Designed for beginners, it breaks down the barriers to entry and equips you with the foundational knowledge to explore AI confidently.
9. In this post, I’ll share my journey from being curious about AI to becoming an AWS-certified AI practitioner and how this certification can be your perfect launchpad into the world of AI.
This is how I helped my Mom, to understand "AI to ChatGPT" with a story.
1. Artificial Intelligence :- Imagine building ChefBot to help in kitchen. (Aim is to replicate human behaviour)
2.Artificial Narrow Intelligence (ANI):- Chefbot can be programmed for a single task, perhaps perfectly mixing batter every time. But we want Chefbot to perform more complex tasks.
3. Machine Learning (ML) : After that, we begin using data and experiences to teach ChefBot. To achieve this, there are three methods.
a.Supervised Learning: We show ChefBot different types of cakes like chocolate, vanilla. We provide labelled instructions for each cake type, detailing ingredients and baking times. ChefBot picks up the ability to recognize and properly make every kind of cake. (machines learn from labeled data.)
b.Unsupervised Learning: We give ChefBot a variety of unlabelled ingredients and recipes. ChefBot analyzes the ingredients and groups them into categories, such as dry ingredients (flour, sugar) and wet ingredients (eggs, milk). (find patterns in data without explicit labels)
c. Reinforcement Learning:- ChefBot learns to decorate cakes by trial and error. Each time it decorates a cake, we give feedback: positive for good designs and negative for mistakes. Over time, ChefBot improves its decorating skills based on this feedback. ( machines learn from rewards and punishments.)
4. Deep Learning (DL):- ChefBot starts by following simple recipes. Over time, it learns complex techniques like tempering chocolate and decorating cakes with intricate designs,nuances of heat control, pan movements. (Like neural networks learn from data through multiple layers to understand complex tasks.)
5.Generative AI (Gen AI) :- As ChefBot improves, it starts creating new recipes. ChefBot uses its knowledge of ingredients to invent new dishes. This is like Generative AI, which creates new content based on learned patterns. (in LLM)
6. Large Language Model (LLM) :- ChefBot reads cookbooks and understands advanced culinary techniques. This is like a Large Language Model (LLM), which understands and generates human-like text based on extensive training data. Gen AI uses knowledge from the LLM to create new and exciting culinary masterpieces!
7. GPT (Generative Pre-trained Transformer) :- Imagine a giant digital cookbook called "The Chef's Story." This LLM stores information on every dish ever created. ChefBot can access this book/resource to fuel his creativity in the kitchen.
8. GPT-4 (Specific LLM) :- Think of different editions of "The Chef's Story" digital cookbook. (GPT-1, GPT-2, GPT-3, GPT-4). Each edition offers more detailed information.
9. ChatGPT (Application):- While Chefbot can't cook for everyone, he can share his knowledge and creations using a communication app powered by a previous LLM (like GPT-3) called "Chef Chat.". He can answer cooking questions, recommend recipes based on user preferences.
Prasad Tarapure
Prasad Tarapure
Why Getting AWS AI Certified is Easier (and More Important) Than You Think !
Numbers never lie...
1. The AI market is booming: The global AI market is expected to grow from $515 billion in 2023 to an estimated $1.8 trillion by 2030, at a CAGR of over 37%.
2. Demand for AI professionals is skyrocketing:LinkedIn reports a 74% annual growth in AI-related jobs globally, ranking AI specialists among the top emerging careers.
3. AI adoption is everywhere: A McKinsey report states that 50% of companies have already integrated AI into at least one business function, with industries like manufacturing, healthcare, and finance leading the way.
4. Generative AI is driving transformation: Tools like ChatGPT, DALL-E, and Bard are projected to contribute an estimated $4.4 trillion annually to the global economy.
5. Skills gaps are growing : Gartner highlights that 56% of business leaders identify the lack of skilled AI talent as the biggest barrier to AI adoption.
6. Employers are willing to pay 43% more to hire AI-skilled professionals in sales and marketing, 42% more for those in finance, 41% more for business operations, and 47% more for IT professionals. (Source AWS)
7. Despite these opportunities, many professionals feel overwhelmed by the technical complexity of AI.
8. That’s where the AWS Certified AI Practitioner program steps in. Designed for beginners, it breaks down the barriers to entry and equips you with the foundational knowledge to explore AI confidently.
9. In this post, I’ll share my journey from being curious about AI to becoming an AWS-certified AI practitioner and how this certification can be your perfect launchpad into the world of AI.
medium.com/@prasadstarapure/why-getting-aws-ai-cer…
4 months ago (edited) | [YT] | 0
View 0 replies
Prasad Tarapure
This is how I helped my Mom, to understand "AI to ChatGPT" with a story.
1. Artificial Intelligence :- Imagine building ChefBot to help in kitchen. (Aim is to replicate human behaviour)
2.Artificial Narrow Intelligence (ANI):- Chefbot can be programmed for a single task, perhaps perfectly mixing batter every time. But we want Chefbot to perform more complex tasks.
3. Machine Learning (ML) : After that, we begin using data and experiences to teach ChefBot. To achieve this, there are three methods.
a.Supervised Learning: We show ChefBot different types of cakes like chocolate, vanilla. We provide labelled instructions for each cake type, detailing ingredients and baking times. ChefBot picks up the ability to recognize and properly make every kind of cake. (machines learn from labeled data.)
b.Unsupervised Learning: We give ChefBot a variety of unlabelled ingredients and recipes. ChefBot analyzes the ingredients and groups them into categories, such as dry ingredients (flour, sugar) and wet ingredients (eggs, milk). (find patterns in data without explicit labels)
c. Reinforcement Learning:- ChefBot learns to decorate cakes by trial and error. Each time it decorates a cake, we give feedback: positive for good designs and negative for mistakes. Over time, ChefBot improves its decorating skills based on this feedback. ( machines learn from rewards and punishments.)
4. Deep Learning (DL):- ChefBot starts by following simple recipes. Over time, it learns complex techniques like tempering chocolate and decorating cakes with intricate designs,nuances of heat control, pan movements. (Like neural networks learn from data through multiple layers to understand complex tasks.)
5.Generative AI (Gen AI) :- As ChefBot improves, it starts creating new recipes. ChefBot uses its knowledge of ingredients to invent new dishes. This is like Generative AI, which creates new content based on learned patterns. (in LLM)
6. Large Language Model (LLM) :- ChefBot reads cookbooks and understands advanced culinary techniques. This is like a Large Language Model (LLM), which understands and generates human-like text based on extensive training data. Gen AI uses knowledge from the LLM to create new and exciting culinary masterpieces!
7. GPT (Generative Pre-trained Transformer) :- Imagine a giant digital cookbook called "The Chef's Story." This LLM stores information on every dish ever created. ChefBot can access this book/resource to fuel his creativity in the kitchen.
8. GPT-4 (Specific LLM) :- Think of different editions of "The Chef's Story" digital cookbook. (GPT-1, GPT-2, GPT-3, GPT-4). Each edition offers more detailed information.
9. ChatGPT (Application):- While Chefbot can't cook for everyone, he can share his knowledge and creations using a communication app powered by a previous LLM (like GPT-3) called "Chef Chat.". He can answer cooking questions, recommend recipes based on user preferences.
10 months ago (edited) | [YT] | 0
View 0 replies