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Data & AI Track

AI Engineer 2026 Curriculum

★★★★★ 4.9 · 320+ students trained

Build the AI products companies are shipping in 2026 — LLM-powered apps, computer vision systems and end-to-end MLOps pipelines. 45 live sessions with PyTorch, LangChain and Hugging Face.

Sessions45 Live
Duration4.5 Months
ModeOnline · Offline · Hybrid
LanguageEnglish & Tamil
SupportPlacement until placed
45
Live Sessions
90 min
Per Session
4.5 Months
Duration
English
Language
Weekday
MTWTFSS
Weekend
MTWTFSS
Mode Online · Offline · Hybrid
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About the Course

Linkskill's AI Engineer program is a 45-session, live-instructor-led course that takes you from Python and ML fundamentals to building production-grade AI systems. You'll master PyTorch for deep learning, LangChain & OpenAI API for LLM applications, Computer Vision with YOLO & OpenCV, and MLOps for deploying and monitoring models at scale.

By graduation you'll have built a GenAI-powered application, a computer vision pipeline and a deployed ML API — three projects that put you in the top 5% of AI job applicants in India.

Course Curriculum

01

Python & ML Foundations

5 sessions
  • Python OOP & advanced patterns for AI codebases
  • NumPy, Pandas & data preprocessing pipelines
  • Scikit-learn: classical ML refresher & pipelines
  • Math for AI: linear algebra, calculus intuition, probability
  • GPU setup: CUDA, Google Colab Pro & local environment
02

Deep Learning with PyTorch

8 sessions
  • PyTorch tensors, autograd & custom training loops
  • Building & training CNNs for image classification
  • Transfer learning: fine-tuning ResNet, EfficientNet
  • RNNs, LSTMs & GRUs for sequential data
  • Transformer architecture from scratch (attention mechanism)
  • Model optimisation: mixed precision, gradient clipping
  • TorchServe for model serving
  • Experiment tracking with MLflow & W&B
03

NLP & Large Language Models

8 sessions
  • NLP pipeline: tokenisation, embeddings, attention
  • BERT & GPT-2 fine-tuning with Hugging Face Transformers
  • Prompt engineering: zero-shot, few-shot, chain-of-thought
  • OpenAI API & Anthropic Claude API integration
  • RAG (Retrieval-Augmented Generation) with vector databases
  • LangChain: agents, chains, memory & tools
  • LlamaIndex for document Q&A systems
  • Fine-tuning open-source LLMs (Llama 3, Mistral)
04

Computer Vision

6 sessions
  • OpenCV: image processing & feature extraction
  • Object detection with YOLOv9 — training & inference
  • Image segmentation with SAM (Segment Anything Model)
  • Face recognition & pose estimation pipelines
  • Real-time video inference with GPU optimisation
  • Deploying CV models as REST APIs
05

Generative AI & Multimodal Systems

6 sessions
  • Diffusion models: Stable Diffusion, ControlNet basics
  • Building a GenAI product: chatbot, image generator, voice assistant
  • Multimodal models: CLIP, GPT-4V integration
  • AI safety & responsible AI guardrails
  • Agentic AI: autonomous multi-step reasoning agents
  • Tool use & function calling with LLMs
06

MLOps & AI Infrastructure

7 sessions
  • ML pipelines with Apache Airflow & Prefect
  • Model versioning with DVC & MLflow
  • Containerising ML models with Docker
  • Kubernetes for scaling AI inference
  • AWS SageMaker & GCP Vertex AI
  • Model monitoring: drift detection & retraining triggers
  • CI/CD for ML: GitHub Actions for model deployment
07

Capstone Project

5 sessions
  • Build a production AI system of your choosing
  • LLM app, CV pipeline or end-to-end GenAI product
  • Full MLOps: CI/CD, monitoring, auto-retraining
  • GitHub showcase + mock technical interview
  • Demo day: present to industry reviewers

Job Roles After This Course

AI Engineer ML Engineer NLP Engineer Computer Vision Engineer GenAI Developer MLOps Engineer LLM Engineer Deep Learning Engineer AI Solutions Architect

Tools & Technologies

Frameworks & Platforms

PyTorch TensorFlow / Keras Hugging Face LangChain OpenAI API AWS SageMaker Docker & Kubernetes MLflow / W&B FastAPI

Python Libraries

NumPy / Pandas Scikit-learn Transformers OpenCV LlamaIndex FAISS / ChromaDB Diffusers YOLO (Ultralytics)

Key Course Features

🎥
100% Live Interactive Learning
🚀
Placement Assistance
📹
Session Recordings Provided
🏆
Industry Certificate
💳
Easy EMI Options
🕐
24×7 Support
💼
3 Portfolio Projects
🎯
Interview Preparation
🔗
LinkedIn Profile Building
🎓

Industry Certificate

Complete all 45 sessions and the capstone project to receive the Linkskill Academy AI Engineer certificate — recognised by hiring companies across India's tech sector.

12 Questions to Ask Before You Enrol — Answered

Before joining any AI Engineer course in Salem or online, ask these 12 questions. Here are Linkskill Academy's straight answers.

1Does the AI Engineer course cover Excel, SQL, Power BI or Tableau, Python and statistics? Can I get the full module list in writing?

This is an AI engineering course: Python and ML foundations, deep learning with PyTorch, NLP and large language models, computer vision, generative AI and MLOps. Statistics is covered within the ML foundations. For Excel, SQL and Power BI, see the Data Analyst course. Full module list: 1. Python & ML Foundations (5 sessions); 2. Deep Learning with PyTorch (8 sessions); 3. NLP & Large Language Models (8 sessions); 4. Computer Vision (6 sessions); 5. Generative AI & Multimodal Systems (6 sessions); 6. MLOps & AI Infrastructure (7 sessions); 7. Capstone Project (5 sessions). We will send this module list on WhatsApp or email on request.

2How many real projects will I do, and with what datasets? Can I see past student projects?

Every module includes hands-on builds, and the course ends with a capstone AI project (for example an LLM-powered application or a computer-vision system) that goes into your GitHub portfolio. Ask us on WhatsApp and we will share sample capstone projects from past learners.

3What is the trainer's industry experience? Do they work in the industry now?

Programmes are led by Sreemathy Sampath, Founder & Managing Director of Linkskill Academy, who has 10+ years of training experience in data and analytics, together with practising industry mentors for specialist modules. Ask us on WhatsApp for the name, LinkedIn profile and current role of the trainer assigned to your batch, and we will send it in writing before you pay.

4Can I attend a free demo class before paying?

Yes. You can attend a free demo / orientation session before you pay anything. Book a slot on WhatsApp (+91 90874 96799). We also run regular free and low-cost workshops (for example our free SQL one-day workshop), which are a good way to experience our teaching style first.

5How many students are in a batch? Are there weekday, weekend or online options?

Batches are kept small so the trainer can review every learner's work. We run weekday and weekend batches, in person at our Arisipalayam, Salem centre, live online, or hybrid. Ask us for the exact seat count and timings of the next batch and we will confirm them on WhatsApp or email.

6What is the duration and total fee, including taxes and exam charges? Are instalments available?

Duration: 45 live sessions of 90 min each, over about 4.5 Months. Fee: AI/ML programmes are ₹25,000–₹35,000 depending on mode and batch. EMI/instalment options are available. Before you pay we send the full amount in writing, with GST and any third-party exam fees shown separately, so there are no hidden charges.

7Who issues the certificate? Is it linked to Microsoft or another recognised body, or is it the academy's own?

The certificate is issued by Linkskill Academy Pvt. Ltd. on completing all sessions and the capstone. It is the academy's own certificate, not linked to an external body.

8Do you offer placement support or only interview prep? Which companies hired your recent students, and how many were placed last year?

We offer placement support, not a job guarantee, and we do not advertise "100% placement". Support continues after the course until you are placed: resume and LinkedIn rebuilding, mock interviews, portfolio review and referrals to hiring companies we work with. Ask us for the list of companies that hired our recent learners and last year's placement numbers, and we will share them in writing.

9Can I speak to two or three past students?

Yes. On request we connect you with two or three past learners from a recent batch (with their consent) so you can ask them directly about the training, projects and placement support.

10What is the refund or batch-change policy if I'm not satisfied?

Our written policy: 100% refund if you cancel 7+ days before the batch starts; 75% refund if you cancel within the first 7 days of class and have attended no more than 2 sessions; after week 1 there is no refund, but you can transfer to a later batch free of charge. Batch transfers are unlimited and free. Refunds are processed within 7 business days.

11Is an internship included, and is it paid or unpaid?

An internship is not bundled into the course fee by default. Linkskill runs separate internship programmes (4–8 weeks, ₹2,000–₹5,000 programme fee depending on the track) where you work on live projects with mentorship and a certificate. These are learning internships, not stipend-paying jobs; a few paid opportunities may be offered to exceptional candidates. Ask us whether a current offer includes an internship.

12If I miss a class, do I get recordings or a repeat session?

Every live session is recorded and shared with you, so you never lose a class. If you miss several sessions, you can join the same topic in a parallel or later batch at no extra cost (free batch transfer).

Get it in writing. Ask for any of these answers on WhatsApp (+91 90874 96799) or email (info@linkskillacademy.live) and we will reply in writing, so you have a record before you pay. Be cautious of any institute that promises "100% placement" without naming companies or numbers. Get these answers on WhatsApp →
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