Meta AI is Meta's free AI assistant built on the Llama model family. Integrated into WhatsApp, Instagram, Facebook, and Messenger. Handles text conversations, image generation (Imagine), and search queries directly within social media apps.
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Meta AI Review (2026)
Meta AI at a glance
Visit Meta AIMeta AI Pricing (2026)
Free
Free- Usage included Unlimited (Llama-based)
- API access No
- Support community
- Max users 1
Learn Meta AI — Courses & Training
Curated online courses to help you master this tool and understand the AI technology behind it.
Meta AI courses
Understand the landscape of AI assistants including Meta AI and LLaMA.
See courseExplore the technology behind Meta AI and large language models.
See courseGeneral AI courses
Non-technical guide to AI by Andrew Ng. Learn what AI can and cannot do — no coding needed.
See courseDeepLearning.AI's flagship ML specialization. Audit all content for free.
See courseFree DeepLearning.AI course: how generative AI works and how to use ChatGPT, Midjourney, and Claude in real workflows.
See courseFree short course by DeepLearning.AI & OpenAI: best-practice prompt engineering for LLMs like ChatGPT and Claude.
See courseFree international course: understand what AI is, how it works, and what it means for society. No math or coding required.
See courseHands-on bootcamp: Python, LLMs, LangChain, APIs, and building real AI-powered applications.
See courseCurated AI learning paths covering Microsoft Copilot, ChatGPT, Canva AI, and productivity workflows.
See courseMIT Sloan Executive Education: how AI reshapes competitive advantage, business models, and organizational strategy.
See coursePractical AI training for business professionals. Covers ChatGPT, automation, and AI-driven decision-making.
See courseReforge program for product leaders: use AI to accelerate growth loops, retention, and product strategy.
See courseUdacity nanodegree for executives: implement generative AI across teams, products, and business processes.
See courseUdacity nanodegree: build LLM-powered apps, fine-tune models, and implement RAG pipelines with expert code review.
See courseDataCamp career track: go from Python basics to production ML models. Includes supervised, unsupervised, and deep learning.
See courseEducative.io interactive path: ML fundamentals to MLOps, with in-browser coding environments and real projects.
See coursePluralsight path: advanced AI, MLOps, model deployment, and production engineering for data professionals.
See courseSuperHi course for creatives: use AI tools (Midjourney, Stable Diffusion, Canva) in real design workflows.
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