Admissions open for the next batch

Build In-Demand Technology
Skills. Prepare for Real-World Careers.

Learn industry-focused technologies through structured training, practical projects and career-oriented guidance. Choose the right technology track and build the skills you need for today's evolving IT industry.

4Career-focused tracks
12+Hands-on practical projects

Industry-Oriented Curriculum

Course content mapped to the tools and workflows technology teams actually use today.

Practical Projects

Every concept is reinforced with hands-on projects built on real and realistic datasets.

Career Guidance

One-on-one guidance to help you choose the right technology track for your goals.

Interview Preparation

Technical and HR interview preparation, including structured mock interview practice.

Placement Assistance

Support connecting trained candidates with relevant job opportunities and recruiters.

Experienced Team

A training and placement team experienced in coaching learners into technology careers.

Programs

Trending Technology Programs

Build practical skills in Python, AI/ML, Data Science, Data Analytics and Generative AI through structured, career-focused programs.

AI/ML Engineer · ML Engineer · AI Developer

Python with AI/ML

Build and train machine learning & deep learning models from scratch.

PythonTensorFlowCNNNLP
View Course
Data Scientist · ML Engineer · Data Science Associate

Python with Data Science

Clean, explore and model data end-to-end using statistics and ML.

PandasStatisticsEDAML
View Course
Data Analyst · Business Analyst · BI Analyst

Python with Data Analytics

Turn raw data into decisions with Python, SQL and Power BI.

SQLExcelPower BIKPI
View Course
GenAI Developer · AI App Developer · LLM Engineer

Python with Generative AI

Build LLM-powered apps with RAG, embeddings and AI agents.

LLMsRAGLangChainAgents
View Course
About AVN

Learn. Practice. Prepare. Interview. Grow.

AVN Training & Placements focuses on practical, career-oriented technology education. Rather than covering theory alone, every program is built around structured learning, hands-on practice and real-world projects — so what you learn maps directly to what employers expect.

Alongside training, we provide interview preparation, career guidance and structured placement assistance to help you carry your new skills into an actual job search.

  • Structured learning
  • Hands-on practice
  • Real-world projects
  • Interview preparation
  • Career guidance
  • Placement assistance
10+ Years Our sales and placement team brings 10+ years of professional experience in client handling, business development and recruitment coordination to every learner's job search.
Why AVN

Why Choose AVN?

What sets a career-focused training program apart from a generic coaching class.

Industry-oriented curriculum

Built around the tools and skills technology teams use in practice.

Project-based learning

You build real projects, not just watch recorded lectures.

Career-focused tracks

Choose the technology path that matches your career goal.

Experienced placement team

A team practiced in client handling and recruitment coordination.

10+ years of experience

Deep experience in business development and hiring coordination.

Resume & interview prep

One-on-one help to present your skills clearly to recruiters.

Structured placement assistance

A defined process connecting you to relevant job opportunities.

Technology career guidance

Honest guidance on the track and role that suits you best.

Practical Projects

Learn by building, not just watching

Every program includes hands-on projects that mirror real technology and data work.

Python & NumPy Programming Exercises

PythonNumPy

Real Dataset Cleaning & Exploration

PandasData Cleaning

Exploratory Data Analysis Project

EDAVisualization

Statistical Analysis Project

StatisticsProbability

Regression Prediction Project

RegressionML

Classification Project

ClassificationScikit-learn

Kaggle-Style ML Problem

Machine LearningKaggle

Customer Segmentation

K-MeansClustering

Neural Network Project

Deep LearningKeras

Image Classification

CNNTensorFlow

ML/DL Capstone Project

CapstoneEnd-to-End

Generative AI / RAG Project

RAGLLMs
Curriculum

12-Week Structured Curriculum

Click a week to see what's covered. The pace shown here is for the AI/ML & Data Science tracks.

Core Python syntax, data structures and numerical computing foundations using NumPy arrays.

Loading, cleaning and transforming datasets with Pandas DataFrames.

Visualizing distributions and relationships, and performing structured exploratory data analysis.

Descriptive statistics, probability distributions and the foundations for hypothesis testing.

Core ML concepts: supervised vs. unsupervised learning, and the model training workflow.

Logistic regression, decision trees and evaluation metrics for classification problems.

Random Forest, XGBoost and SVM, along with hyperparameter tuning.

K-Means clustering, dimensionality reduction and optimization techniques.

Neural network fundamentals: perceptrons, activation functions and backpropagation.

Building deeper architectures with TensorFlow/Keras or PyTorch.

CNN architectures for image classification and computer vision tasks.

Sequence models for text and time series, and completion of the capstone project.

Placement Support

From Learning to Career – We Support Your Placement Journey

Structured placement assistance designed to carry your new skills into an actual job search.

Career guidance & technology-track selection
Resume preparation
Profile improvement
Project & portfolio guidance
Technical interview preparation
HR interview preparation
Mock interviews
Job opportunity identification
Candidate profile coordination
Interview scheduling
Recruitment follow-up
Offer & joining coordination

AVN provides structured placement assistance and support — not a guaranteed placement outcome.

How It Works

Placement Process

A clear, connected path from registration to offer and joining.

01

Candidate Registration

Sign up and share your background and goals.

02

Career & Skill Assessment

We assess your current skills and career direction.

03

Technology Training

Structured training in your chosen technology track.

04

Practical Projects

Apply what you learn to hands-on projects.

05

Resume & Profile Prep

Build a resume and profile that reflect your work.

06

Mock Interviews

Practice technical and HR interview scenarios.

07

Interview Readiness

Final review before you start interviewing.

08

Job Opportunity ID

Relevant opportunities are identified for your profile.

09

Profile Submission

Your candidate profile is submitted to opportunities.

10

Interview Coordination

Scheduling and coordination support for interviews.

11

Client Feedback & Follow-up

We follow up on feedback after each interview.

12

Offer / Joining Support

Support through the offer and joining process.

Technology Stack

Tools & technologies you'll work with

PythonNumPyPandas SQLExcelPower BI TableauMatplotlibSeaborn StatisticsScikit-learnMachine Learning Random ForestXGBoostSVM K-MeansTensorFlowKeras PyTorchDeep LearningCNN RNNLSTMNLP LLMsPrompt EngineeringAPIs RAGEmbeddingsVector Databases LangChainLlamaIndexAI Agents
Success Stories

What learners say

Sample placeholder testimonials — replace with real learner feedback as it comes in.

"The projects made the difference for me — I went from following tutorials to actually building things on my own."

A
Learner, Placeholder NamePython with Data Science track

"Mock interviews helped me get comfortable explaining my project work out loud, which I hadn't practiced before."

S
Learner, Placeholder NamePython with AI/ML track

"Having someone help coordinate interviews and follow-ups took a lot of the guesswork out of the job search."

R
Learner, Placeholder NamePython with Data Analytics track

These are placeholder testimonials for demonstration. Administrators can replace them with verified learner reviews.

For Employers

Hire trained, project-ready technology talent

If you're a company or recruiter looking to hire trained candidates in Python, AI/ML, Data Science, Data Analytics or Generative AI, we can help coordinate the process.

  • Candidate profile coordination
  • Recruitment coordination
  • Interview scheduling
  • Hiring requirement understanding
  • Candidate follow-up
FAQs

Frequently asked questions

Python with AI/ML, Python with Data Science, Python with Data Analytics, and Python with Generative AI.

Both students starting their technology careers and working professionals looking to upskill or switch tracks are welcome to join.

Yes. Every track includes hands-on projects, from small exercises to an end-to-end capstone project.

Yes — technical interview preparation, HR interview preparation, and mock interview practice are all part of placement support.

Resume preparation, profile improvement, job opportunity identification, interview scheduling, recruitment follow-up, and offer/joining coordination.

No. AVN provides structured placement assistance and support — this means active help throughout your job search, not an unconditional guarantee of a job offer.

Python, NumPy, Pandas, SQL, Excel, Power BI, Machine Learning, Deep Learning, and Generative AI tools like LLMs, RAG and LangChain — see the full technology stack above.

The core structured curriculum runs 12 weeks, covering Python fundamentals through to deep learning and a capstone project.

Yes, our programs are designed to be accessible for working professionals alongside students.

Use the "Register Now" button in the navigation, or fill in the enquiry form on the Contact page and our team will reach out.

Ready to build your technology career?

Talk to a career counsellor about the right track for you, or register for the next batch.

Contact Us

Get in touch

Send us an enquiry and our team will get back to you, or reach out directly using the details alongside.

Office address

[Address line 1], [Area], [City], [State] – [PIN] (placeholder — update with actual address)

Phone number

+91 00000 00000 (placeholder)

Email

info@avntraining.com (placeholder)

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