AI & Machine Learning Engineering
From ML foundations to building LLM-powered applications
Taught by Priya Raghavan
- Intermediate level
- 5 months
- Live Online
- Next batch: 8 September 2026
- Certificate of completion
₹52,999₹68,00022% off
EMI & installment options available · Next batch 8 September 2026
This course includes:
- 5 months program
- Lifetime access to recordings
- Certificate of completion
- Placement assistance until hired
- Secure checkout · UPI, cards, EMI
AI & Machine Learning Engineering at a glance
AI & Machine Learning Engineering is a 5 months, intermediate-level live online program from Axcvia, open to learners with basic python knowledge (or take our python course first), ending with a capstone project and a certificate of completion.
- Duration
- 5 months
- Level
- Intermediate
- Mode
- Live Online
- Fee
- ₹52,999
- Certificate
- Yes, on completion
- Next batch
- 8 September 2026
- Projects
- 5 modules
- Placement support
- Included until you're hired
What you'll learn
- Deploy a real LLM-powered application
- PyTorch & modern GenAI stack skills
- AI engineering portfolio
- Interview prep for AI/ML roles
Course content
5 modules · 20 topics · 5 months
- Python & NumPy refresher
- Linear algebra essentials
- Probability & statistics
- Data wrangling with Pandas
Lesson recordings and materials are added to your dashboard as the batch progresses.
Requirements
- Basic Python knowledge (or take our Python course first)
Description
A hands-on AI engineering track: Python for ML, core machine learning, deep learning with PyTorch, and the modern GenAI stack — LLM APIs, RAG pipelines, embeddings, and AI agents. Finish with a deployed AI product in your portfolio.
Your instructor
Lead Trainer — Data Science & Python
Data scientist with experience at Mu Sigma and a fintech startup, specializing in applied machine learning and analytics. Loves making statistics click for beginners.
Student reviews
“The GenAI modules are genuinely current — RAG, embeddings, agents. My capstone chatbot is live in production at my company today.”
From the blog
Read before you enroll
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