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FintechSolAcademy
Artificial IntelligencePopular

Artificial Intelligence Professional Program

Learn how modern AI systems work and build practical applications with large language models, prompt engineering and retrieval-augmented generation.

Duration
12 weeks · 72 hrs
Training mode
Live Online
Level
Intermediate
Modules
6 modules

Course overview

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.

What you will learn

  • Explain how machine learning and large language models work at a practical level
  • Design effective prompts and evaluate model output systematically
  • Build a retrieval-augmented generation (RAG) application over your own documents
  • Integrate AI APIs into Python applications safely and cost-effectively
  • Apply responsible AI practices, including privacy and bias considerations

Curriculum

6 modules · 12 weeks

  1. 01Foundations of AI and Machine Learning10 hrs
    • History and types of AI
    • Supervised vs unsupervised learning
    • Model training and evaluation basics
  2. 02Python for AI Projects10 hrs
    • NumPy and pandas refresher
    • Working with APIs
    • Environment and secrets management
  3. 03Large Language Models and Prompt Engineering14 hrs
    • Tokens, context windows and model choice
    • Prompt patterns
    • Evaluating and testing prompts
  4. 04Embeddings, Vector Search and RAG16 hrs
    • Text embeddings
    • Chunking strategies
    • Building a RAG pipeline
  5. 05Responsible and Production AI10 hrs
    • Guardrails and safety
    • Cost and latency
    • Monitoring quality
  6. 06Capstone Project12 hrs
    • Project scoping
    • Build and review
    • Presentation and portfolio write-up

Prerequisites

  • Basic Python programming
  • Comfort with spreadsheets or basic statistics

Certification

FintechSol Academy Certificate in Applied Artificial Intelligence (certificate of completion).

Your trainer

Priya Raman

Sample profile

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.

Frequently asked questions

Do I need a background in mathematics?

No advanced mathematics is required. We explain the concepts you need intuitively and focus on applying AI tools correctly.

Are the live sessions recorded?

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.

Will I receive a certificate?

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.

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