- AI with Armand
- Posts
- Make 2024 the year of Learning AI
Welcome to the 3,654 new members this week! nocode.ai now has 28,358 subscribers 🤯
Happy 2024, folks! Let’s make this year the one where we all learn the basic concepts of AI and put them into practice in our daily lives and jobs.
In this first edition of the year, I’m sharing with you FREE assets to make 2024 the year you break into the magical world of AI, regardless of your previous experience.
Today, I'll cover:
My NEW Generative AI Email Course
The AI Bootcamp
Top AI Ted Talks
Coursera Generative AI Specialization from IBM
Let’s dive in! 🤿
1. My New Generative AI Email Course
LLMs, SLMs, NLP, Embeddings, Vector Databases, Tokens, LLMOps, LVMs, RAG, GPUs, GPTs, FMs, LMM, GAN, Fine-Tuning, LoRa, Prompts, Alignment...
Are you feeling lost trying to understand all these AI terms?
I've created a 15-day course to help you know all the core concepts of Generative AI, in just 5 minutes a day.
These are the topics I cover:
𝗗𝗮𝘆 𝟭: 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Overview of generative AI and its importance in business.
𝗗𝗮𝘆 𝟮: 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 Exploring different generative AI models like GANs, VAEs, and transformers.
𝗗𝗮𝘆 𝟯: 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗟 𝘃𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Comparing traditional machine learning with generative AI methods.
𝗗𝗮𝘆 𝟰: 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗚𝗣𝗨𝘀 Understanding the role of GPUs in AI and machine learning tasks.
𝗗𝗮𝘆 𝟱: 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗧𝗮𝗸𝗲𝘀 𝘁𝗼 𝗧𝗿𝗮𝗶𝗻 𝗮 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 Insights into the resources and processes for training large foundation models.
𝗗𝗮𝘆 𝟲: 𝗛𝗼𝘄 𝘁𝗼 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 Discussing techniques for customizing foundation models for specific uses.
𝗗𝗮𝘆 𝟳: 𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗣𝗼𝗽𝘂𝗹𝗮𝗿 𝗟𝗟𝗠𝘀 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 - Overview of the most widely-used large language models and their features.
𝗗𝗮𝘆 𝟴: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 Exploring practical applications of generative AI across business sectors.
𝗗𝗮𝘆 𝟵: 𝗧𝗵𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝘁𝗮𝗰𝗸 Understanding the components and architecture of the generative AI tech stack.
𝗗𝗮𝘆 𝟭𝟬: 𝗧𝗵𝗲 𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝗲 𝗼𝗳 𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 Discussing the rise and importance of small language models in AI.
𝗗𝗮𝘆 𝟭𝟭: 𝗧𝗵𝗲 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 Exploring the role, responsibilities, and required skills of AI engineers.
𝗗𝗮𝘆 𝟭𝟮: 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗔𝗜 Discussing the ethical challenges in AI development and deployment.
𝗗𝗮𝘆 𝟭𝟯: 𝗖𝗿𝗲𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 How to develop a strategic AI integration roadmap for businesses.
𝗗𝗮𝘆 𝟭𝟰: 𝗙𝘂𝘁𝘂𝗿𝗲 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗔𝗜 Exploring future developments and trends in AI.
𝗗𝗮𝘆 𝟭𝟱: 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗝𝗼𝘂𝗿𝗻𝗲𝘆
How does it work?
Enroll here: https://go.nocode.ai/30-day-email-course
Receive a short lesson via email every day for the next 15 days after enrollment. The content is designed to be completed in 3-5 minutes.
Discuss what you learn with your colleagues and peers, and consider how the new concepts relate to your business and current job.
This is your best opportunity to get ahead and gain essential skills. Get 1% better every day. Knowledge compounds over time.
2. The AI Bootcamp
In case you want to invest more time the AI Bootcamp will take you From Zero to Hero, Learn the Fundamentals of AI. This Free Course is perfect for beginner to intermediate-level professionals who want to break into AI. Transform your skillset and accelerate your career.
This course includes:
50 videos: From the basics to advanced concepts and real demos. I explain everything step-by-step.
15 Practice Exercises: Learn by doing. Train and deploy your first models to understand the core concepts. No technical experience is required.
Learn in Community: Be part of the private group where I will be answering your questions and providing my top tips.
It is ideal for:
✅ Professionals looking to break into AI and transform business
✅ Learners new to AI seeking to successfully experiment
✅ Anyone eager to grow their AI network and connect with experts
I created a very complete course curriculum:
Module 1: AI Basics and Core Concepts
Module 2 - It's all about the Data
Module 3 - Traditional Machine Learning
Module 4 - The Deep Learning Revolution
Module 5 - Put AI into Production
Module 6 - Generative AI
Module 7 - Ethical and Trustworthy AI
Module 8 - AI Tools
Module 9 - Implement AI for Business
Module 10 - A Sneak Peek into the Future
It includes step-by-step labs to learn how to prepare data, image classification, text classification, fine-tune LLMs, and develop chatbots, AI Agents, and AI Avatars. A lot of fun!
3. Top AI Ted Talks
10 AI TED Talks. Watch them all and get inspired for the new year!
List of Ted Talks —> link
4. Coursera Generative AI Specialization from IBM
IBM 💙 Coursera. IBM just released the Generative AI Fundamentals Specialization. You can enroll now and this is what you will learn:
Reply