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In this video, we are doing a complete course unboxing of Simplilearn’s AI Accelerator Program: From Prompts to Agentic Workflows. This program is designed to help learners go from basic AI understanding to building real AI apps, agents, automation workflows, and MVPs in just 8 weeks.
We will discuss what this course is about, who should take it, the learning format, course duration, course fees, cohort details, and what topics are covered in the program. You will also get a clear look at the learning path, including prompt engineering, Python for AI builders, Claude and Claude Code, RAG with LangChain, vibe coding, n8n automation, OpenClaw, and the final capstone project.
If you are interested in Generative AI, Agentic AI, AI automation, AI workflows, or building your own AI products, this course unboxing will help you understand whether this program is the right fit for you.
Timestamps:
00:00 Introduction
00:20 Course overview
00:55 What is the AI Accelerator Program?
01:35 Program duration and learning format
02:05 Course fees and admission details
02:45 Tools and technologies covered
03:30 Complete learning path breakdown
04:35 Projects, portfolio, and capstone
05:15 Who should join this program?
05:40 Final thoughts
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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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