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Career programme

Professional Diploma in Artificial Intelligence in Coimbatore

The complete AI diploma — maths, ML, deep learning, NLP, CV, reinforcement learning, MLOps and responsible AI.

  • 6 Months
  • 480 Hours
  • 10 modules
  • Classroom / Online / Hybrid
  • TÜV SÜD + IPCS Global
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Programme overview

Our most in-depth AI programme. With the maths behind AI, extensive machine learning and deep learning, NLP, computer vision, reinforcement learning, MLOps and responsible AI, you graduate able to build, deploy and explain real AI systems — with a 60-hour capstone to prove it.

  • 6 Months

    Duration

  • 480 Hours

    Training hours

  • 10

    Modules

  • 5

    Projects

Who should join

  • Engineering, science & computer application graduates
  • Developers & analysts moving into AI
  • Final-year students
  • Professionals building AI products

Eligibility

Degree in engineering, science or computer applications (final-year students welcome).

Best for: Engineering, science & computer application graduates

What you'll be able to do

  • Apply linear algebra, calculus and statistics to ML
  • Build and evaluate ML and deep learning models
  • Build NLP, LLM and computer vision solutions
  • Train reinforcement learning agents
  • Deploy and monitor models with MLOps
  • Apply responsible, ethical AI practices

The full syllabus

10 modules, 480 hours, delivered in three phases that each build on the last.

  1. 01

    Phase 1

    Foundation

    Modules 1–2 · 80 Hours

    Python and the maths behind AI.

  2. 02

    Phase 2

    Core Ai

    Modules 3–7 · 290 Hours

    ML, deep learning, NLP, computer vision and reinforcement learning.

  3. 03

    Phase 3

    Production

    Modules 8–10 · 110 Hours

    MLOps, responsible AI and a full capstone.

Training hours by module480 hours in total
  • 01 Introduction to AI & Python40h
  • 02 Mathematics for AI40h
  • 03 Machine Learning80h
  • 04 Deep Learning80h
  • 05 Natural Language Processing (NLP)60h
  • 06 Computer Vision (CV)40h
  • 07 Reinforcement Learning30h
  • 08 MLOps & Deployment30h
  • 09 Responsible AI20h
  • 10 AI Capstone Project60h

Module-by-module topics

8% of programme
  • AI history, types & applications
  • Python syntax, data types & operators
  • Control flow, functions & modules
  • Lists, tuples, dictionaries & sets
  • OOP: classes, inheritance, polymorphism

8% of programme
  • Linear algebra: vectors & matrices
  • Calculus & gradient descent
  • Probability & statistics
  • Optimisation basics

17% of programme
  • Supervised learning: regression & classification
  • Unsupervised learning: clustering & PCA
  • Decision trees, random forests & boosting
  • Model evaluation & cross-validation
  • Feature engineering & pipelines (scikit-learn)

17% of programme
  • Neural network fundamentals
  • TensorFlow / Keras & PyTorch
  • CNNs for images
  • RNNs, LSTMs & sequence models
  • Transfer learning & tuning

13% of programme
  • Text preprocessing & embeddings
  • Sentiment analysis & classification
  • Transformers & BERT
  • Large language models & prompting
  • Retrieval-augmented generation (RAG) basics

8% of programme
  • Image processing with OpenCV
  • Object detection (YOLO)
  • Image segmentation
  • Face & pose recognition

6% of programme
  • MDPs & rewards
  • Q-learning
  • Deep Q-Networks
  • Policy gradients

6% of programme
  • FastAPI & Docker
  • MLflow & experiment tracking
  • CI/CD for ML
  • Cloud deployment

4% of programme
  • Bias & fairness
  • Explainability (SHAP, LIME)
  • Privacy & AI regulation

13% of programme
  • Problem framing
  • Data to deployment
  • Presentation & review

Tools & technologies you'll use

  • Python
  • Jupyter / Colab
  • NumPy & Pandas
  • scikit-learn
  • TensorFlow / Keras
  • PyTorch
  • Hugging Face
  • OpenCV
  • LangChain
  • Streamlit / FastAPI
  • Docker
  • Git & GitHub
  • MLflow
  • OpenAI Gym / Gymnasium

Projects you'll build

  1. 1

    Project 01

    Customer churn prediction

  2. 2

    Project 02

    Object detection system

  3. 3

    Project 03

    LLM-powered assistant with RAG

  4. 4

    Project 04

    RL game agent

  5. 5

    Project 05

    End-to-end deployed capstone

How you'll be assessed

  1. 01

    Module Assessments

    Practical and theory checks at the end of each module.

  2. 02

    Project Reviews

    Trainer review of your mini projects and final project.

  3. 03

    Certification

    Issued on meeting assessment and attendance criteria.

Certification: TÜV SÜD certification + IPCS Global course certificate + Internship Certification.

Roles You'll Be Ready For

  • 1

    AI / ML Engineer

    Builds and deploys machine learning models.

  • 2

    Data Scientist

    Solves business problems with data and ML.

  • 3

    NLP / LLM Engineer

    Builds language and GenAI applications.

  • 4

    Computer Vision Engineer

    Builds image and video intelligence.

  • 5

    MLOps Engineer

    Deploys and monitors models in production.

  • 6

    AI Product Developer

    Builds AI features into applications.

Your Growth Ladder

Click a stage to see what the role involves and its salary band.

  1. Build, train and evaluate models.

Annual Salary Range (CTC) — ₹ Lakh per annum
Annual Salary Range (CTC) — ₹ Lakh per annum
StageMinimum (₹ lakh p.a.)Maximum (₹ lakh p.a.)
Junior ML / AI Engineer47
ML / AI Engineer714
Senior ML Engineer / Lead1428
AI Architect / Head of AI2850

Indicative ranges for India in 2026. Lower end: Tier-2 cities such as Coimbatore and smaller firms; upper end: metros and larger companies. Guidance only, not a salary guarantee.

Skills to add next

  • LLM engineering: RAG, agents, fine-tuning
  • Cloud ML (AWS SageMaker, Azure ML, Vertex AI)
  • Big data (Spark)
  • Advanced MLOps
  • Research paper reading & implementation

Certifications to target

  • TÜV SÜD certification
  • AWS Certified Machine Learning – Specialty / ML Engineer
  • Microsoft Azure AI Engineer
  • Google Professional ML Engineer

Upgrade path at IPCS Global

  1. 1

    Cloud ML certifications

  2. 2

    Specialisation in GenAI / LLM engineering

Your first 12 months after the course

  1. Month 0–1

    Get Visible

    Polish your resume and portfolio; apply through the IPCS placement cell's drives.

  2. Month 1–3

    First Role

    Join as a Junior ML / AI Engineer.

  3. Month 3–6

    Get Certified

    Earn one certification from the list above.

  4. Month 6–12

    Specialise

    Pick a specialisation and own a project, system or channel.

Global opportunity: IT skills are the most globally portable: remote roles, freelance projects and overseas opportunities (GCC, Europe, US, Singapore) are all realistic with experience and a strong portfolio.

Placement support

Technical skill gets you noticed — presentation and confidence get you hired. Every learner goes through a structured career-readiness track alongside their course. Professional Diploma in Artificial Intelligence learners get 100% placement assistance from our Coimbatore placement cell.

  • Dedicated Placement Cell

    An in-house team works with industry partners to line up interviews, drives and referrals — supporting learners until they are placed, not just until the course ends.

  • Resume Building

    One-on-one sessions to craft an achievement-focused resume tailored to the role and industry each learner is targeting.

  • Aptitude Training

    Structured practice in quantitative aptitude, logical reasoning and verbal ability — the areas most recruiters screen first.

  • Personality Development & Talentino

    Communication, body-language and workplace-readiness coaching, plus our in-house talent showcase sessions.

  • Mock Interviews & Group Discussions

    Simulated technical and HR panels and GD rounds, so the first real interview never feels like the first.

Final selection depends on each learner's skills and interview performance. See recent placements

Course fees

Contact for fees

The fee for Professional Diploma in Artificial Intelligence depends on the batch type and learning mode you choose. Call or WhatsApp +91 80860 96664 for the current fee and any instalment options, or book a free demo class first.

Ask for fees

Batch timings

Batches: Weekday · Weekend · Fast-track. Mode: Classroom / Online / Hybrid.

  • Weekday Batches: Regular daytime batches for students and freshers.
  • Weekend Batches: Saturday–Sunday batches for working professionals.
  • Fast-Track Batches: Intensive schedules to finish sooner.

Exact class timings are fixed for each new batch — our counsellors will share the next start date. Centre hours: Mon–Sat, 9:00 AM – 7:00 PM.

Professional Diploma in Artificial Intelligence: frequently asked questions

Professional Diploma in Artificial Intelligence runs for 6 Months with 480 hours of training across 10 modules and 5 hands-on projects. You can choose a weekday, weekend or fast-track batch at our Peelamedu centre.

Degree in engineering, science or computer applications (final-year students welcome). Best suited for: Engineering, science & computer application graduates. It is also a good fit for Engineering, science & computer application graduates, Developers & analysts moving into AI and Final-year students.

You will work hands-on with Python, Jupyter / Colab, NumPy & Pandas, scikit-learn, TensorFlow / Keras, PyTorch, Hugging Face and OpenCV, among others. Modules include Introduction to AI & Python, Mathematics for AI, Machine Learning and Deep Learning.

Typical roles include AI / ML Engineer, Data Scientist, NLP / LLM Engineer and Computer Vision Engineer. The indicative starting range for a Junior ML / AI Engineer is ₹4–7 lakh per annum; this is guidance only, not a salary guarantee. Our placement cell supports you with resume building, mock interviews and interview drives.

TÜV SÜD certification + IPCS Global course certificate + Internship Certification. IT, AI & Software programmes are delivered at IPCS Global Coimbatore, an ISO 9001:2015 certified institute.

Fees depend on the batch type you choose. Please call or WhatsApp +91 80860 96664 for the current fee and any offers, or book a free demo class to meet the trainers first.

Anything else? Call +91 80860 96664 or visit the Coimbatore branch (Mon–Sat, 9:00 AM – 7:00 PM).

Book Your Free Demo Session Today

Sit in on a live Professional Diploma in Artificial Intelligence class, meet the trainers and see the labs before you enrol.

Book Your Free Demo Session Today

Sit in on a live Professional Diploma in Artificial Intelligence class, meet the trainers and see the labs before you enrol.