Master AI for FREE in 2024

5 Steps to Learn AI with free Courses

Author

Saidul Islam
May 13, 2024

In partnership with

Welcome to BrainBuzz.

Today you will learn about:

  • AI Product Creation

  • 5 Steps to Learn AI for Free in 2024

  • AI Gadget VS Smartwatch

  • AI in Every Android Phone

  • 3 AI Stocks on the Rise

  • Retell AI: Voice Agents for Calls

  • And More….

CREATE YOUR AI PRODUCT

BUILD YOUR AI PRODUCT IN WEEKS NOT MONTHS

85% of all AI Projects Fail, but AE Studio Delivers

If you have a big idea and think AI should be part of it, meet AE.

We’re a development, data science and design studio working with founders and execs on custom software solutions. We turn AI/ML ideas into realities–from chatbots to NLP and more.

Tell us about your visionary concept or work challenge and we’ll make it real. The secret to our success is treating your project as if it were our own startup.

LEARN AI FOR FREE

5 Steps to Learn AI for Free in 2024

Step 1: Learn Python

Explore low-code AI tools for basic development. Still, learning Python is key for versatility, control, extensive libraries, and better job prospects in AI, data science, and more.

Step 2: Learn AI with a Free Harvard Course

Master Python basics through courses. Practice, build projects. Improve coding skills with my YouTube video. Then, delve into AI theory and application.

Step 3: Learn Git and GitHub

Post-course, you'll implement AI models in Python. Learning Git and GitHub is vital for code management, collaboration, and showcasing your work.

Step 4: Mastering Large Language Models

LLMs, like ChatGPT, are revolutionizing AI with their scale, generalization capabilities, and contextual understanding, making them vital for modern workflows.

Step 5: Fine-Tuning Large Language Models

After mastering LLM basics, delve into fine-tuning them for specific tasks. This skill is valuable for businesses using proprietary datasets.

AI GADGETS

AI Gadget VS Smartwatch: Things you must know before buying any.

The tech industry has been racing to integrate advanced AI algorithms into various devices since the release of ChatGPT in late 2022. Tech giants like Samsung, Google, and others have made AI software tools the centerpiece of their new product announcements.

AI and Smartwatches

There’s a growing belief that large language models (LLMs) would be particularly useful in smartwatches. The primary purpose of a smartwatch is to reduce our reliance on phones. However, the small screens of smartwatches aren’t ideal for extended interactions, creating an opportunity for AI to step in.

AI Gadgets: A Rocky Start

Dedicated AI gadgets like the Humane AI Pin and the R1 from Rabbit Inc. have received negative reviews due to inconsistent performance, overheating issues, and limited functionality. These experiences have raised questions about the necessity of new AI-fueled consumer electronics.

AI Potential in Existing Wearables

Despite the skepticism around new AI gadgets, there’s significant potential for AI to enhance the wearables we already own. With upcoming events like Google’s I/O developers conference and Apple’s WWDC, we might hear more about how AI could improve smartwatches.

AI and Smartwatch Interactions

Smartwatches have evolved from mini phone screens to devices with their own dedicated gestures, interactions, and interfaces. Generative AI could take this to the next level by intelligently summarizing notifications, reducing the need to reach for your phone.

AI IN ANDROID PHONE

AI in Every Android Phone

Google has been at the forefront of the AI platform shift, with more than 60% of funded generative AI startups and nearly 90% of gen AI unicorns being Google Cloud customers. The company’s deep investments in AI infrastructure and models have led to incredible momentum in the Cloud business.

Gemini: A Leap in Generative AI

Google has launched its most capable models yet, including Gemini 1.5 Pro. This model shows dramatically enhanced performance and includes a breakthrough in long context understanding. It can run 1 million tokens of information consistently, opening up new possibilities for enterprises to create, discover, and build using AI.

Real-World Applications of Gemini

Gemini’s multimodal capabilities, which can process audio, video, text, code, and more, enable enterprises to do things that just weren’t possible with AI before. For instance, a gaming company could provide a video analysis of a player’s performance, along with tips to improve. Or an insurance company could combine video, images, and text inputs to create an incident report, making the claims process easier.

Expanding Access to AI Models

Google is expanding access to a new version of its open model Gemma, designed to help customers with code generation and other types of code assistance. These models are now available on Vertex AI, Google Cloud’s platform to customize and fully manage a wide range of leading gen AI models.

Grounding Models with Verifiable Information

Through Vertex AI, customers can now augment and ground their models — connecting model outputs to verifiable sources of information — in two new ways. The first is with Google Search, which provides high-quality information to improve the accuracy of responses.

AI STOCKS

3 AI Stocks on the Rise

Nvidia (NASDAQ: NVDA), the maker of graphics processing units (GPUs), is currently benefiting the most from AI. Its GPUs, which are faster and more energy-efficient than central processing units (CPUs), have become the industry standard for powering AI applications in data centers. Despite a more than tripling of its revenue during its most recent quarter, the stock is attractively valued at only a 36 forward P/E.

Amazon: Investing Heavily in AI

Amazon (NASDAQ: AMZN) may not be the first company that comes to mind when thinking about AI, but it has been heavily investing in the technology. It owns the largest cloud business, Amazon Web Services (AWS), which is benefiting from the proliferation of AI. Amazon has also developed two chips, Trainium and Inferentia, specifically for AI applications.

Microsoft: Partnering with OpenAI

Microsoft (NASDAQ: MSFT) has become the world’s most valuable public company, with a market cap of over $3.1 trillion. Its strategic partnership with OpenAI, the creator of ChatGPT, has been mutually beneficial. Microsoft’s cloud platform, Azure, serves as OpenAI’s main computing infrastructure, and in return, Microsoft gets exclusive licenses to OpenAI’s large language models (LLMs).

CrowdStrike: AI Cybersecurity Pioneer

CrowdStrike (NASDAQ: CRWD) is one of the first pure AI cybersecurity companies. It has a competitive advantage due to its years’ worth of data, which is crucial for training effective AI-based tools. Its dollar-based net retention rate was 119% in the fourth quarter of its fiscal 2024.

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