Almost skipped over this part of the poster 👀 The $1.5 offer is available for accounts from Japan, Korea, UK, France, Germany, Italy, Spain, Mexico, Brazil, US, Canada, and Australia. And it’s for your first-ever payment for Dreamina. So if you’re in one of those regions and haven’t paid for Dreamina before, definitely worth checking the offer on your account. #AIcreator dreamina.capcut.com/ai-tool/…

For $1.5, you get a full month of Dreamina Basic. That means time to explore AI video generation, test creative ideas, and understand how Dreamina fits into your workflow. #AIFilmmaking

If your account qualifies, you can access the offer by selecting Dreamina Basic and completing your first payment. The promotional price will appear before you confirm the subscription. #AIvideo

A lot of creators want to experiment with AI video, but the first subscription always feels like a big decision. A $1.5 first month gives you a simple way to try the workflow and see what you can create. #Dreamina #DreaminaPartner

STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI. I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses. VIDEOS: 1. LLM Introduction — piped.video/watch?v=zjkBMFhN… 2. LLMs from Scratch — piped.video/watch?v=9vM4p9NN… 3. Agentic AI Overview (Stanford) — piped.video/watch?v=kJLiOGle… 4. Building & Evaluating Agents — piped.video/watch?v=d5EltXhb… 5. Building Effective Agents — piped.video/watch?v=D7_ipDqh… 6. Building Agents with MCP — piped.video/watch?v=kQmXtrmQ… 7. Building an Agent from Scratch — piped.video/watch?v=xzXdLRUy… 8. Philo Agents — piped.video/playlist?list=PL… GITHUB REPOS: 1. GenAI Agents — github.com/nirdiamant/GenAI_… 2. Microsoft AI Agents for Beginners — github.com/microsoft/ai-agen… 3. Prompt Engineering Guide — github.com/dair-ai/Prompt-En… 4. Hands-On Large Language Models — github.com/HandsOnLLM/Hands-… 5. GenAI Agents — github.com/NirDiamant/GenAI_… 6. Made with ML — github.com/GokuMohandas/Made… 7. Hands-On AI Engineering — github.com/Sumanth077/Hands-… 8. Awesome Generative AI Guide — github.com/aishwaryanr/aweso… 9. Designing Machine Learning Systems — github.com/chiphuyen/dmls-bo… 10. Machine Learning for Beginners — github.com/microsoft/ML-For-… 11. LLM Course — github.com/mlabonne/llm-cour… GUIDES: 1. Google's Agent Whitepaper — kaggle.com/whitepaper-agents 2. Google's Agent Companion — kaggle.com/whitepaper-agent-… 3. Building Effective Agents by Anthropic — anthropic.com/engineering/bu… 4. Claude Code Agentic Coding Practices — code.claude.com/docs/en/best… 5. OpenAI's Practical Guide to Building Agents — cdn.openai.com/business-guid… BOOKS: 1. Understanding Deep Learning — udlbook.github.io/udlbook/ 2. Building an LLM from Scratch — manning.com/books/build-a-la… 3. The LLM Engineering Handbook — oreilly.com/library/view/llm… 4. AI Agents: The Definitive Guide — oreilly.com/library/view/ai-… 5. Building Applications with AI Agents — oreilly.com/library/view/bui… 6. AI Agents with MCP — oreilly.com/library/view/ai-… 7. AI Engineering — oreilly.com/library/view/ai-… RESEARCH PAPERS: 1. ReAct — arxiv.org/abs/2210.03629 2. Generative Agents — arxiv.org/abs/2304.03442 3. Toolformer — proceedings.neurips.cc/paper… 4. Chain-of-Thought Prompting — arxiv.org/pdf/2201.11903 COURSES: 1. Hugging Face Agent Course — huggingface.co/learn/agents-… 2. MCP with Anthropic — deeplearning.ai/courses/mcp-… 3. Building Vector Databases with Pinecone — deeplearning.ai/courses/buil… 4. Vector Databases: Embeddings to Apps — deeplearning.ai/courses/vect… 5. Agent Memory — deeplearning.ai/courses/llms… No endless searching. No information overload. Just resources you can actually use. 🔖 Your future AI skill set will come from consistent building, experimenting, and learning. Repost so someone else can find this roadmap, and pls consider following @I_Rohsni for more content around AI, Beauty, and businesses.

The speed here is crazy. You go from an idea to an actual ad variation without going through a full design workflow.

Stop paying thousands to learn AI. Some of the companies building the future of AI are teaching you how it works for FREE. Here are 10 official resources worth bookmarking: 1. Anthropic → Claude & prompt engineering anthropic.skilljar.com 2. Google → AI courses & learning paths grow.google/ai 3. Meta → Llama & open-source AI ai.meta.com/resources 4. NVIDIA → CUDA & AI development developer.nvidia.com/cuda 5. Microsoft → AI learning & certifications learn.microsoft.com/en-us/tr… 6. OpenAI → ChatGPT & AI courses academy.openai.com 7. IBM → AI & tech courses skillsbuild.org 8. AWS → Generative AI & cloud skillbuilder.aws 9. DeepLearning. AI → AI courses by Andrew Ng deeplearning.ai 10. Hugging Face → Open-source AI & models huggingface.co/learn You don't need another $2,000 AI course. Learn directly from the people building the technology. Bookmark this.

This is the kind of list worth saving.

Can't believe this is real.

Is this real?

This is insane!!!

I agree..

The next step for AI agents might not be better prompts. It might be letting the agent improve itself. Reef’s /reefine lets you describe a new capability, then builds, checks, and ships the change. Add a tool, create a mode, change how it responds. Your agent literally grows new abilities.

This is Wild!!!

I ACCIDENTALLY UNLOCKED "GOD MODE" IN CLAUDE. And it started teaching me things I didn’t know existed. Use these prompts for the result that will blow your mind:

This goes straight to my bookmark f. Thanks

Absolutely.

Best time to try it.

Couldn't agree more

Absolutely.