Machine Learning Engineering
Master core machine learning algorithms, feature engineering and model deployment using Python and scikit-learn.
- 10 weeks
- Intermediate
- 60 hrs
Learn how modern AI systems work and build practical applications with large language models, prompt engineering and retrieval-augmented generation.
This program gives working professionals a practical, engineering-focused understanding of artificial intelligence. You will start with the foundations of AI and machine learning, then move on to large language models, prompt design, embeddings and retrieval-augmented generation (RAG). Throughout the course you build small, working applications and finish with a capstone project that you can discuss confidently in interviews.
The emphasis is on responsible, production-minded AI: evaluating output quality, handling data privacy, and understanding the limitations of current models.
6 modules · 12 weeks
FintechSol Academy Certificate in Applied Artificial Intelligence (certificate of completion).
Lead Trainer – AI & Machine Learning
12+ years experience · Machine learning, generative AI, Python
Priya designs and delivers FintechSol Academy's AI and machine learning programs. Her teaching focuses on turning theory into working, well-evaluated solutions and on responsible use of AI in business settings.
No advanced mathematics is required. We explain the concepts you need intuitively and focus on applying AI tools correctly.
Yes. Recordings of live sessions are made available to enrolled learners for the duration of the course so you can revise or catch up on missed classes.
Learners who complete the required assignments and the capstone receive a FintechSol Academy certificate of completion. Vendor certification exams, where relevant, are booked and paid separately.
Master core machine learning algorithms, feature engineering and model deployment using Python and scikit-learn.
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