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In this video, we break down the Top 3 Agentic AI Certifications that are shaping the future of AI careers. From building autonomous AI agents and multi-agent systems to mastering RAG pipelines and real-world automation workflows, these programs help you move beyond basic AI into production-ready intelligent systems.
We’ll explore certifications from leading platforms like Microsoft, IBM, and DeepLearning.AI—so you can choose the right path to become job-ready in Agentic AI.
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➡️ About AI Accelerator Program: From Prompts to Agentic Workflows
Go from no coding background to shipping real AI products in 8 weeks. Most programs conclude at general AI usage but here, you begin with software design thinking, followed by Python, prompt engineering, AI-assisted coding, RAG application development, workflow automation, and agentic systems — finishing with work you can demonstrate, not just a certificate.
Key Features
✅ Explore a structured curriculum designed for ambitious professionals ready to build with AI from the ground up.
✅ Start without prior coding or AI tool experience and upskill to building agentic automation
✅ Master prompt engineering techniques across leading AI tools and frameworks, including ChatGPT, Claude, Claude Code, and LangChain
✅ Learn vibe coding to rapidly prototype, improve, and ship AI-powered applications with guided AI support
✅ Gain hands-on exposure to AI-assisted coding, debugging, testing, documentation, and GitHub workflows
✅ Build practical LLM applications using modern frameworks, AI memory, knowledge retrieval, and autonomous agents to solve real-world business problems
✅ Learn to create RAG applications that can work with external knowledge sources and real-world use cases
✅ Learn to build end-to-end AI workflows that connect tools, databases, and intelligent agents to automate real business processes and decision-making
Skills Covered
✅ Python Programming Fundamentals
✅ Computational Thinking
✅ Problem Solving
✅ Prompt Engineering
✅ AI Assisted Coding and Debugging
✅ Vibe Coding
✅ RAG Application Building
✅ LangChain Basics
✅ APIs and External Tools
✅ Workflow Automation Using n8n
✅ Personal AI Assistants With OpenClaw
✅ Introductory Agentic AI Design
✅ Deployment Readiness
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