"AI Landscape 2025" provides a comprehensive overview of various AI tools and agents, categorizing them into 14 distinct groups such as AI Agent Builders, Coding, and Productivity, among others. It outlines the number of available tools within each category, highlighting the expansive growth and diversification in the AI sector. The document also notes the pricing models for these AI tools, indicating options for free, paid, and hybrid pricing structures. Key Points - The document categorizes AI tools into 14 different groups including AI Agent Builders, Coding, and Productivity. - A total of 138 tools are dedicated to AI Agent Builders, demonstrating a significant focus on developing intelligent agents. - There are 94 tools available for coding, showcasing the increasing integration of AI in software development. - Productivity tools number 43, indicating a growing market for AI-driven efficiency solutions. - Categories like Finance and Marketing have 16 and 22 tools respectively, reflecting AI's penetration into business operations. - The document mentions different pricing structures: free, paid, and a combination of both for various tools. - A diverse range of applications is identified, from Customer Service (39 tools) to Digital Workers (41 tools), emphasizing the versatile uses of AI technologies. https://aiagentslist.com/ai-agents-map https://aiagentslist.com/mcp-servers #AILandscape2025 #AITools #AIAgents #AIAgentBuilders #AICodingTools #AIProuctivityTools #FinanceAI #MarketingAI #CustomerServiceAI #DigitalWorkers #AIpricing #FreeAI #PaidAI #HybridAI #GPTs #AutoGPT #BabyAGI #AIgrowth #AIadoption

Microsoft offers a variety of resources and courses for beginners interested in AI agents. Their learning platform, Microsoft Learn, provides structured modules that cover the basics of AI and how to build intelligent agents using tools like Azure Cognitive Services and Bot Framework . These courses are designed to help newcomers understand key concepts in AI, including natural language processing and machine learning . Additionally, Microsoft has created hands-on labs and tutorials that guide users through the process of developing their own AI applications . This practical approach not only enhances learning but also equips beginners with the skills needed to implement AI solutions in real-world scenarios . Overall, Microsoft's commitment to education in AI ensures that aspiring developers have access to comprehensive resources to kickstart their journey into the world of AI agents. https://microsoft.github.io/ai-agents-for-beginners/ https://microsoft.github.io/AI-For-Beginners/ https://github.com/microsoft/ai-agents-for-beginners #microsoftlearn #aieducation #aiagents #azurecognitiveservices #botframework #nlp #machinelearning #aimicrosoft #airealworld #ai #aiagentsforbeginners #hands-onlabs #aitutorials #googlecloudai #awsai #cortana

Source: Post by Rakesh Gohel on Linkedin AI Agent trends have drastically changed from 2024 to 2025 Here are the new trends driving innovation this year.... The Agentic AI field is constantly moving forward with new innovations and products. I'll share with you a few notable trends that are driving the market in 2025. Note: I've also included a few Langgraph codebooks if you want to build some of these solutions yourself. 📌 Agentic RAG - AI Agent workflow for reasoning-based real-time data retrieval and generation. - Agentic RAG is not limited to one use case but rather used in health care as well. - Used by companies like Perplexity, Harvey AI and Glean AI. 📌 Voice Agents - Intelligent agents that interact with users through natural spoken language utlizing a wide range of TTS and STTS embedding and Retrieval. - Used by companies like ElevenLabs, Cognigy, Vapi and Deepgram. 📌 AI Agent Protocols - Streamlining Multi-Agent Communication that supports communication between Agents built in different frameworks. - Used by Companies like Accenture, the top players include A2A, ACP, SLIM and others. 📌 CUA(Computer Using Agents) - AI agents that can interact with a computer the way a human does utilizing tools like a browser, CLI and even a mouse's cursor. - Used by Companies like OpenAI for their Operator, Claude's Computer Use, Runner H by H-Company and Manus AI. 📌 Coding Agents - Multi-Agents for building and debugging applications 10x faster with the help of clever tool use and LLM-based code gen. - Used by companies like Windsurf, Cursor and GitHub Copilot. 📌 Deepresearch Agents - Collaborative Multi-Agent system to build extensively researched reports from a large number of sources. - Popular products include Gemini DR, OpenAI DR and You(.)com DR. 🔗 Few Langgraph Codebooks to build some of the trending solutions 1. Agentic RAG: https://lnkd.in/gdqWyP3r 2. CUA: https://lnkd.in/gCdxpUBi 3. Deepresearch: https://lnkd.in/gexsW5qh 4. Code Gen Agents using RAG: https://lnkd.in/gDnsBFuM 📌 After months of feedback and iteration, we are finally releasing our first technical cohort, "AI Agent Engineering" 🔗 Enrol here: https://lnkd.in/gDEPcXBB If you are a business leader, we've developed frameworks that cut through the hype, including our five-level Agentic AI Progression Framework to evaluate any agent's capabilities in my latest book. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ & follow for everything related to AI Agents https://www.linkedin.com/posts/rakeshgohel01_ai-agent-trends-have-drastically-changed-activity-7343981787842297858-PJkS #agenticrag #voiceagents #aiagentprotocols #cua #codingagents #deepresearchagents #langgraph #elevenlabs #cognigy #perplexity #harveyai #gleanai #openai #cursor #githubcopilot #geminidr #youcom #windsurf #a2a #acp #slim #tts #sts #rag #multiagent #aiagents #llm #browserautomation #aicoding