AI-Powered Automation
Efficiency
Master the AI tools that enterprise JDs demand — Cursor, Claude, Codex, ChatGPT, AWS Bedrock Agents, open-source agents, and rapid prototyping tools like Lovable and Bolt.
Not theory. Not hype. The actual skills hiring managers screen for.
Localized pricing · Limited seats per batch
Skills straight from enterprise job descriptions
Every module maps to what hiring managers and technical leads actually screen for in AI automation roles.
AI-Assisted Development
Cursor, GitHub Copilot, OpenAI Codex — write production code 5x faster. The skill every enterprise now expects in JDs.
LLM APIs for Enterprise
ChatGPT, Claude, Gemini APIs — build internal tools, automate SOPs, and integrate LLMs into enterprise workflows.
AWS Bedrock Agents
Production Bedrock agents with action groups, knowledge bases, and guardrails. The cloud AI service enterprises adopt first.
Open-Source AI Agents
LangChain, CrewAI, AutoGen, n8n — multi-agent automation with full control. Self-hosted, compliant, enterprise-ready.
Rapid Prototyping Tools
Lovable, Bolt, v0, Replit Agent — prototype internal tools in hours instead of weeks. Know when to use them vs custom code.
Governance & Career Prep
AI security, compliance, interview prep, and resume optimization — everything to land the AI automation role.
Built for working professionals
You already know how to code. This course teaches you to leverage AI tools the way enterprises expect.
Software Engineers
Who want to add AI automation skills to their toolkit and land better roles
DevOps / MLOps Engineers
Looking to automate pipelines and infrastructure with AI tools
Enterprise Developers
Building internal tools and automations for their organizations
Tech Leads
Evaluating and adopting AI tools for their engineering teams
QA / Automation Engineers
Who want to bring AI into testing and quality workflows
Career Changers
Experienced professionals pivoting to AI-first engineering roles
6 Modules · 30–35 Days · Extendable to 45
Every topic maps to enterprise JD requirements. Hands-on projects with every module.
AI-Assisted Development with Cursor, Copilot & Codex
- ✓Cursor IDE: agentic coding, multi-file edits, codebase-aware prompts
- ✓GitHub Copilot: inline completions, chat, workspace agents
- ✓OpenAI Codex CLI: autonomous multi-step task execution
- ✓Writing production-quality code 5x faster with AI pair programming
- ✓Enterprise coding standards & AI guardrails
- ✓Hands-on: Build a full-stack feature using only AI-assisted tools
ChatGPT, Claude & Gemini for Enterprise Workflows
- ✓ChatGPT (GPT-4o, o3): API integration, custom GPTs, enterprise use cases
- ✓Claude AI: long-context analysis, document processing, system prompts
- ✓Gemini: multimodal inputs, Google Workspace integration
- ✓Prompt engineering patterns enterprises actually use
- ✓Building internal tools & SOPs with LLM APIs
- ✓Hands-on: Automate a real enterprise workflow end-to-end
AWS Bedrock Agents & Cloud AI Services
- ✓AWS Bedrock: foundation models, agents, knowledge bases, guardrails
- ✓Building production Bedrock agents with action groups & APIs
- ✓Amazon Q: AI assistant for enterprise developer productivity
- ✓Azure AI Services & Azure OpenAI for enterprise
- ✓GCP Vertex AI agents & Gemini integration
- ✓Hands-on: Deploy a Bedrock agent that automates a business process
Open-Source AI Agents for Enterprise
- ✓LangChain agents: tool use, chains, memory, and retrieval
- ✓CrewAI: multi-agent role-based automation
- ✓AutoGen: conversational multi-agent frameworks
- ✓n8n & Activepieces: open-source workflow automation with AI nodes
- ✓Self-hosted vs managed agents: cost, security, compliance trade-offs
- ✓Hands-on: Build a multi-agent system for an enterprise use case
Rapid Prototyping & Low-Code AI Tools
- ✓Lovable & Bolt: AI-powered full-stack app generation
- ✓v0 by Vercel: UI generation from natural language
- ✓Replit Agent: end-to-end app building with AI
- ✓When to use low-code AI vs custom development in enterprises
- ✓Prototyping → production pipeline with AI tools
- ✓Hands-on: Prototype an internal tool in under 2 hours with AI
Enterprise AI Automation, Governance & Career Readiness
- ✓Enterprise AI automation strategy & ROI measurement
- ✓AI security: prompt injection, data leakage, access control
- ✓Compliance & governance for AI in regulated industries
- ✓Building your portfolio of enterprise AI automation projects
- ✓Interview prep: system design for AI automation roles
- ✓Resume & LinkedIn optimization for AI automation engineer JDs
Ready to start?
Limited seats per batch. Contact via WhatsApp for pricing and schedule.
Tools you will master
Only the tools that appear in enterprise JDs. No filler.
Cursor
AI IDE
GitHub Copilot
AI IDE
OpenAI Codex
AI CLI
ChatGPT / GPT-4o
LLM
Claude AI
LLM
Gemini
LLM
AWS Bedrock
Cloud AI
Amazon Q
Cloud AI
Azure OpenAI
Cloud AI
LangChain
Agents
CrewAI
Agents
AutoGen
Agents
n8n
Automation
Lovable
Prototyping
Bolt
Prototyping
v0 by Vercel
Prototyping
Ready to master AI-Powered Automation?
Join the next batch. 30–35 days of focused training on the exact tools enterprises hire for. Limited seats, live online, localized pricing.
I read every message. Typical reply within a day. No pressure to buy.
Notes from people who sat in the same calls
Screenshots and messages students chose to share - click to enlarge.
* Self-reported; not a promise of future results.