About Course
Design AI agents that plan, use tools and pull from your own documents.
This is a short, focused Skill Sprint with one clear goal and daily practice. It is designed and taught live by Epigenesis trainers in small batches, and prepares you for data analyst, data scientist, ML and AI engineering roles.
At a glance
- Format: Skill Sprint · Data & AI
- Duration: 4 weeks
- Level: Advanced
- Mode: Live online classes + recordings in your Epigenesis classroom
- Key skills: Agents, Vector DBs, Evaluation
- Fee: On request — new batches are forming. Talk to a counsellor for the next start date and fee.
Who this programme is for
Students who already code in Python.
Programme structure
- Module 1 — Agent design patterns
Live class with worked examples, a practice set, and a short graded check. - Module 2 — Tool use and function calling
Live class with worked examples, a practice set, and a short graded check. - Module 3 — Vector search and retrieval
Live class with worked examples, a practice set, and a short graded check. - Module 4 — Evaluation and guardrails
Live class with worked examples, a practice set, and a short graded check.
How you learn
- Live, interactive classes — the join link opens in your classroom 15 minutes before each session
- Every class recorded and saved to your login for revision
- Assignments and practice sets with personal feedback from your mentor
- A graded check after each module and a final assessment
- Attendance and progress visible in your dashboard
Certificate
Complete the modules, assessments with at least 75% attendance to receive an Epigenesis Edu certificate of completion.
For colleges and universities
This programme can run as an Epigenesis Campus Pathway for a full batch — mapped to your semester plan (3 credits per semester), taught alongside your timetable, with monthly attendance and assessment reports.
Enquire about the next batch Talk to a counsellor →
Programme content, schedules and certificates are issued by Epigenesis Edu Private Limited. Fees exclude GST.
Course Content
Module 1 — Agent design patterns
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Lesson notes: Agent design patterns
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Assignment: Agent design patterns
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Module 1 quiz