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MLOps & LLMOps · New program

LLMOps & AI ObservabilityLLMOps course online · live online & classroom in Chennai

Evaluate, trace and control LLM applications in production.

6 WeeksExpertProgramClassroom + Online⚡ Fast-track available
Request syllabus →Interview prep →
4modules
20lessons
4hands-on labs
40hours

What you'll learn in this LLMOps course

Use LLMs effectively and responsibly
Make LLMs answer accurately from your own data
Run LLM applications reliably in production
Run reliable systems with SRE practices

Who this LLMOps course is for

🚀

Experienced engineers

Go deeper and lead in your field.

🧭

Team leads

Set standards and mentor others.

🏅

Certification seekers

Prepare for professional-level exams.

✓ 2+ years of hands-on experience in the field✓ Solid fundamentals in the related area✓ A laptop for hands-on labs

New to LLMOps? Our advisors can suggest the best starting point for your background.

What you'll build

LLMOps course syllabus

4 modules · 20 lessons · 4 major labs · 40 hours

01

LLM fundamentals

5 lessons · 1 lab
8 hrs+
  1. How large language models work
  2. Tokens, context windows and cost
  3. Prompt engineering
  4. Structured output
  5. Safety, bias and limits
HANDS-ON LAB

A reusable prompt library for real tasks

02

Retrieval-augmented generation (RAG)

5 lessons · 1 lab
12 hrs+
  1. Chunking strategies
  2. Embeddings
  3. Vector databases
  4. Hybrid search and re-ranking
  5. Evaluating RAG answers
HANDS-ON LAB

Chat-with-your-docs assistant with citations

03

LLMOps

5 lessons · 1 lab
8 hrs+
  1. Prompt versioning
  2. Evaluation suites
  3. Tracing and observability
  4. Guardrails
  5. Cost control
HANDS-ON LAB

Evaluation harness that scores every release

04

Observability & SRE

5 lessons · 1 lab
12 hrs+
  1. Metrics, logs and traces
  2. Prometheus and Grafana
  3. OpenTelemetry
  4. SLOs and error budgets
  5. Incident response and postmortems
HANDS-ON LAB

SLO dashboard with burn-rate alerts

Your 6 weeks journey

WEEK 1LLM fundamentals
WEEKS 2–3Retrieval-augmented generation (RAG)
WEEK 4LLMOps
WEEKS 5–6Observability & SRE

LLMOps tools you'll use

OpenAIClaudeGeminiLangChainLlamaIndexpgvectorLangSmithLangfusePrometheusGrafanaOpenTelemetry

LLMOps projects you'll build

PROJECT 01

Chat-with-your-docs assistant with citations

Hands-on project from the Retrieval-augmented generation (RAG) module.

PROJECT 02

Evaluation harness that scores every release

Hands-on project from the LLMOps module.

PROJECT 03

SLO dashboard with burn-rate alerts

Hands-on project from the Observability & SRE module.

LLMOps course fees & batches in Chennai

Course fee

₹9,999 incl. GST

Pay in full or in two instalments. Online learners outside India: see the fee in your currency on our worldwide page.

Get the fee & next batch →Ask on WhatsApp

What the fee includes

  • 40 hours of live, instructor-led classes
  • Hands-on labs and 3 portfolio projects
  • Session recordings for revision
  • 1:1 mentoring
  • Interview preparation: questions and mock tests
  • Placement assistance: resume reviews, mock interviews and referrals

Batches & mode

  • Weekday batches
  • Weekend batches for working professionals
  • Fast-track batches
  • Classroom at our Arumbakkam centre, Chennai
  • Live online from anywhere

LLMOps certification & exam cost

🎓
Certification this course prepares you for
AWS Machine Learning Engineer Associate · Kubernetes CKA (optional)

The exam is booked directly with the certification provider, and its cost is set by the provider for your country. Our advisors share the current exam cost and help you plan the right exam date, with mock tests beforehand.

SOTT Academy certificate of completion (specimen)
Specimen for illustration only. Not a valid certificate. © SOTT Academy
Awarded on completion

SOTT certificate of completion

Every learner who completes the LLMOps course is awarded the SOTT Academy Certificate of Completion, with your name, the course, the date and a unique certificate number.

  • Awarded when you complete the course
  • Unique certificate number
  • Add it to your resume and LinkedIn profile

LLMOps jobs & career path

With placement assistance: resume and LinkedIn reviews, mock interviews, 1:1 mentoring and referrals to openings where available.

Step-by-step guide: MLOps Engineer career path · Generative AI & RAG learning path

STEP 1ML EngineerTrain and ship models
STEP 2MLOps EngineerPipelines and serving
STEP 3Senior MLOps / LLMOpsReliability and evals
STEP 4ML Platform LeadPlatforms for teams
STEP 5AI Platform ArchitectStrategy and scale
Free with this course

Interview prep: 3 levels, mock tests and model answers

Practise the questions real interviewers ask, from fresher to lead.

Fresher · 0–3 yearsMid-level · 3–8 yearsExperienced · 8–15 years
Start practising →

LLMOps course FAQ

Who is the LLMOps & AI Observability course for?+
It is designed for experienced engineers, team leads and certification seekers. Go deeper and lead in your field.
Do I need prior experience?+
It helps to have 2+ years of hands-on experience in the field, solid fundamentals in the related area and a laptop for hands-on labs. Our advisors can review your background and suggest the best starting point for you.
How long is the LLMOps & AI Observability course?+
6 weeks, about 40 hours across 4 modules, with a hands-on lab in every module.
What does the LLMOps & AI Observability syllabus cover?+
The modules are: LLM fundamentals, Retrieval-augmented generation (RAG), LLMOps and Observability & SRE. The full lesson list is on this page.
Which tools and technologies will I use?+
OpenAI, Claude, Gemini, LangChain, LlamaIndex, pgvector, LangSmith, Langfuse, Prometheus, Grafana and OpenTelemetry.
What projects will I build?+
Chat-with-your-docs assistant with citations, Evaluation harness that scores every release and SLO dashboard with burn-rate alerts. Your mentor reviews them, and you can show them in interviews.
Which certification does it prepare me for?+
AWS Machine Learning Engineer Associate · Kubernetes CKA (optional). We guide your preparation, run practice tests and help you plan your exam; our advisors can share the current exam details.
Is it online or in the classroom?+
Both. Join us at our Arumbakkam centre in Chennai or live online from anywhere. Session recordings are shared with you for revision, so you can catch up if you miss a class.
Are there weekend and fast-track batches?+
Yes. We offer weekday, weekend and fast-track batches, so you can choose the schedule that suits you best.
What jobs can I apply for afterwards?+
Roles such as ML Engineer, MLOps Engineer, Senior MLOps / LLMOps and ML Platform Lead.
Is there interview preparation for LLMOps & AI Observability?+
Yes. Practise free interview questions and timed mock tests for fresher, mid-level and experienced roles on our Interview prep page.
Do you help with placements?+
Yes. Our placement assistance includes resume and LinkedIn reviews, mock interviews, 1:1 mentoring and referrals to openings where available, so you go into interviews well prepared.
Can I attend a free demo class first?+
Yes. Book a free consultation and our advisor will arrange a demo session for you.
What are the fee and payment options?+
Our advisors will share the current fee, upcoming batch dates and payment options for the batch that suits you.
I have another question. Who can I ask?+
Our advisors are happy to help. Call or WhatsApp us, or send a message from the Contact page, and we will get back to you within one working day.
Keep exploring

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Syllabus →Enquire now
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LLMOps & AI Observability brochure

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