Start with Python and progress into deployed LLM, RAG, automation, agent, and voice applications
AI & AutomationBeginner
Applied AI: Agents & Automation
Go from Python basics to tested AI agents, automations, voice experiences, and a deployed business application.
✦
Portfolio outcomeBusiness chatbot with structured output, tool calling, and reviewed AI-written code
Duration16 weeks
Live lessons32
LanguageEnglish & Tamil
Learning modeWeekend live · Saturday & Sunday, 2 PM–5 PM
Program fee₹14999Start with ₹2999 + monthly AutoPay
The real outcome
What you'll actually be able to do.
A 16-week bilingual weekend program with 96 live hours and 64 guided practice hours. Classes run Saturday and Sunday from 2 PM to 5 PM, with four additional practice hours each week. Start with Python, build five working AI projects, and finish with a tested, secured, costed, and deployed live application.
01
Build practical Python applications that use APIs, structured data, Git, and GitHub
02
Create and evaluate LLM applications with structured output, tool calling, and cost controls
03
Build tested RAG systems with citations and measurable retrieval quality
04
Automate business workflows with n8n, webhooks, human approvals, and channel integrations
05
Design tool-using agents and bilingual voice experiences with safe stopping and handoff rules
06
Deploy, secure, monitor, cost, and present a live AI application
Course benefits
Why this learning path matters.
Each benefit is connected to practice, projects, and work you can demonstrate.
Complete 96 live hours plus 64 guided practice hours in a structured weekend format
Practise evaluation, tracing, guardrails, prompt-injection defence, human approval, and cost control
Build five working projects that count only when they are deployed, tested, secured, and costed
Finish with a live client-style application, GitHub evidence, technical viva, and Demo Day presentation
Your learning roadmap
From “new to this” to “I built this.”
32 live lessons across 16 focused modules.
Curriculum access
Unlock the complete curriculum.
Enter your name and phone number to view the complete weekly syllabus.
Your number is never displayed publicly.Project studio
Portfolio case studies. Built to show your process.
Progress from evidence-led UX work to a tested, presentation-ready product.
Business chatbot with structured output, tool calling, and reviewed AI-written code
PlanBuildReview
Tested document Q&A application with citations, retrieval evaluation, and cost controls
PlanBuildReview
AI lead-management automation with n8n, scoring, follow-ups, and human approval
PlanBuildReview
Tool-using AI agent with memory, stopping rules, tracing, and safety controls
PlanBuildReview
Tamil and English clinic receptionist with appointment booking, disclosure, and human handoff
PlanBuildReview
Your stack
Tools you'll get comfortable with.
ChatGPTClaudeGeminiNotebookLMPythonVS CodeGitHubCursor or Claude CodePandasSQLChromaDBn8nLangGraphMCPVapi or LiveKitLangSmithStreamlitFastAPIDocker
Job opportunities
Where these skills can take you.
These are realistic roles to explore as your portfolio and experience grow.
Trainee AI Automation SpecialistJunior AI Workflow EngineerJunior AI Integration EngineerConversational AI DesignerAI Operations Specialist
Hiring readiness
How this curriculum helps you compete in 2026.
Hiring teams look for evidence that you can apply skills, explain decisions, and work through realistic constraints.
Five working projects demonstrate applied capability across LLM apps, RAG, automation, agents, and voice
Python, APIs, GitHub, FastAPI, Docker, evaluation, and monitoring provide practical technical evidence
Safety, privacy, consent, human handoff, and cost reports show responsible production thinking
GitHub portfolio, mock interviews, technical viva, and Demo Day prepare learners to explain reliability and business value
Job titles and hiring requirements vary by company and location. Completing a course strengthens skills and portfolio evidence; it does not guarantee employment.
Is this your track?
This course fits if you are…
- ✓Students
- ✓Freshers
- ✓Working professionals
- ✓Beginners targeting applied AI, integration, automation, conversational AI, or AI operations roles
Good to know
Before you start.
- ✓Basic computer skills and logical thinking
- ✓Laptop with internet; 8 GB RAM works for cloud tools and 16 GB is recommended for local models
- ✓No coding background required
- ✓A small API-credit or paid coding-tool budget may be needed for selected labs
ZZiawinElite Institute
Digital credential
Certificate of achievement
This certifies thatStudent Name
has successfully completed the career programApplied AI: Agents & Automation
ChatGPTClaudeGemini
Sample credential IDZE · 2026 · AI-AGENTS-WORKFLOW-AUTOMATION
✦AIREADY