Coincent learners will now be certified by Microsoft.

Upskill & Transition to

Machine Learning

3-year of live structured program designed by industry experts to upskill & successfully transition to Machine Learning roles.

Duration : 2.5 month Each Year

Seat : 150 seats, only One Batch

Enroll Now Download Syllabus

From This 3 year Program, You Will Gain

All the Right Skills required to transition to Machine Learning roles
Multiple Industry-Relevant Projects to showcase in your resume
Internship and placement assistance to help you launch your career as a Machine Learning in top-tier companies.

1.1 Python Crash Course Introduction

  • What is Python?
  • Use cases in AI/ML/Data Science

1.2 Python Demo & Installation

  • Installing Python (Anaconda/Miniconda)
  • Jupyter Notebook setup

1.3 Python Introduction and Installation

  • Python IDEs, interpreters
  • Running .py scripts

1.4 Basic Python and Datatypes

  • int, float, bool, str
  • Type conversion

1.5 Numbers & Strings

  • String slicing, formatting
  • Arithmetic & logical operations

1.6 Data Types

  • Lists, Tuples, Sets, Dictionaries

2.1 If-Else Conditions

  • Conditional expressions
  • Nested if, elif

2.2 While & For Loops

  • Loop control: break, continue
  • Iterating through collections

3.1 Exception Handling

  • Try-Except-Else-Finally
  • Common exceptions in ML workflows (e.g., ZeroDivisionError, ValueError)

3.2 Functions in Python

  • Defining functions
  • Parameters, default values
  • Lambda functions
  • Scope and return values

5.1 Classes

  • Objects, attributes, methods

5.2 OOP

  • Inheritance, Polymorphism
  • Encapsulation and abstraction
  • Relevance to ML (e.g., custom model classes)

6.1 Logistic Regression vs Deep Learning

  • When to use Logistic Regression vs Neural Networks
  • Linear boundaries vs non-linear decision making

6.2 TensorFlow and Keras

  • Building a neural network in Keras
  • Layers, activation functions, compiling, training, evaluating

7.1 Introduction to Libraries

  • Why libraries matter in ML
  • Popular libraries overview

7.2 Library Introduction

  • Setting up with pip or conda

7.3 Matplotlib

  • Plotting graphs
  • Visualizing data & model performance (loss curves, confusion matrices)

7.4 NumPy

  • Arrays, matrix operations
  • Random number generation

7.5 Pandas

  • DataFrames, filtering, grouping
  • Handling missing values

8.1 Data

  • Types: categorical, numerical, ordinal
  • Data collection and integrity

8.2 Linear Algebra

  • Vectors, matrices, dot product
  • Applications in ML: weights, embeddings

8.3 Statistics

  • Mean, median, mode
  • Variance, standard deviation

8.4 Probability & Stats

  • Distributions: binomial, normal, Poisson
  • Bayes theorem

9.1 Introduction to Probability, Statistics & SQL

  • Probability in ML models
  • Basic SQL for data querying

9.2 Data Visualization with Tableau

  • Dashboards, plots, charts
  • Connecting Tableau to data sources

9.3 LSTM (Intro)

  • Long Short-Term Memory networks
  • Use in time series and NLP
  • Basic model using Keras

10.1 Clustering

  • K-Means Clustering
  • Hierarchical clustering
  • Applications: customer segmentation

10.2 Evaluation Metrics

  • Accuracy, Precision, Recall, F1-score
  • Confusion matrix, ROC-AUC
  • Cross-validation

10.3 Logistic Regression – Feature Regression

  • Feature selection: correlation, chi-squared test
  • Feature importance, regularization

10.4 Logistic Regression

  • Binary classification
  • Sigmoid function
  • Decision boundary

10.5 Simple Linear Regression

  • Linear relationship
  • Least squares method
  • Evaluation: R², MAE, MSE

10.6 Multiple Linear Regression

  • Handling multiple predictors
  • Multicollinearity

Year 2 is full of hands-on-experience on 8 live projects

CAPSTONE PROJECTS
Restaurant Review using NLP
22 Hours

This project uses Natural Language Processing (NLP) to analyze and classify restaurant reviews as positive or negative. It involves text preprocessing, tokenization...

Self-Driving Car
19 Hours

This project simulates a self-driving car using machine learning and computer vision techniques. It detects road lanes, signs, and objects using OpenCV and deep learning models like CNNs...

Vehicle Price Prediction
23 Hours

This regression-based project predicts the selling price of vehicles based on features like model, mileage, fuel type, and age. It uses data preprocessing, encoding, and model building with algorithms...

Dogs vs Cats using CNN
20 Hours

This classification project uses Convolutional Neural Networks (CNNs) to distinguish between new_images of dogs and cats. The model learns visual features like ears, fur, and shapes...

Lead Scoring Case Study
21 Hours

This project builds a classification model to score and prioritize sales leads based on conversion likelihood. It uses historical lead data with features like source, activity level, and demographics...

Diabetes Prediction using ML
18 Hours

This binary classification task predicts whether a patient is likely to develop diabetes based on medical parameters like BMI, glucose level, and age. The Pima Indians Diabetes dataset...

Number of Orders Prediction
22 Hours

This time series or regression project predicts the future number of orders in a business or delivery service. It uses historical order data, seasonality patterns, and external factors (e.g., holidays)...

Bike Sharing Demand Prediction
22 Hours

This project predicts the demand for bike rentals based on features like weather, time, and day. It uses regression models such as Random Forest, Gradient Boosting, or Neural Networks...

Guaranteed Internship Phase

  • In Year 3, Coincent guarantees an internship with partner companies for every student at no extra cost.
  • The internship includes a formal Internship Offer Letter and a Completion Certificate upon successful completion.
  • This is part of their “Industrial Training + Internship” model:
    • Training fees cover live classes, mentorship, and project work.
    • The internship phase itself is completely complimentary.

Structured Placement Preparation

  • Coincent supports students in portfolio-building with multiple completed projects (typically around 8+) and Microsoft-aligned certifications.
  • They provide:
    • Mock interviews
    • Resume reviews
    • Training for HR and technical rounds
  • All activities aim at preparing students for real-world hiring.

Final Take

  • Coincent’s 3rd year transforms theory into practical experience through a guaranteed internship.
  • Builds a robust credentials portfolio and equips you with placement-ready skills.
  • Via mock interviews and resume prep, sets a clear trajectory from "training" to "hired" — especially important if you're in your 4th year.
Step Into Top Tech Roles
  • Machine Learning Engineer:
    • Role: Designs, builds, and deploys ML models into production systems
    • Skills: Python, TensorFlow/PyTorch, model training, MLOps, data pipelines.
  • Data Scientist:
    • Role: Analyzes and interprets complex data to inform decisions; uses ML for predictions.
    • Skills: Python, R, SQL, Pandas, Scikit-learn, statistical modeling, data visualization.
  • AI Engineer:
    • Role: Develops AI applications like chatbots, recommendation engines, and vision systems.
    • Skills: ML + Deep Learning (DL), Natural Language Processing (NLP), OpenCV, TensorFlow.
  • Deep Learning Engineer:
    • Role: Specializes in building deep neural networks for image, video, or speech-based applications.
    • Skills: CNNs, RNNs, LSTM, PyTorch, TensorFlow, GPUs.
  • Data Engineer:
    • Role: Builds and manages data pipelines and architectures to support ML workflows.
    • Skills: SQL, ETL tools, Spark, Hadoop, cloud platforms (AWS, GCP, Azure).
  • Computer Vision Engineer:
    • Role: Works on image/video processing applications like object detection or facial recognition.
    • Skills: OpenCV, YOLO, CNNs, PyTorch, TensorFlow.
  • NLP Engineer:
    • Role: Develops models for language understanding — chatbots, translators, sentiment analysis.
    • Skills: Transformers, BERT, spaCy, NLTK, HuggingFace.
  • ML Ops Engineer:
    • Role: Focuses on automating and scaling ML model deployment and monitoring.
    • Skills: Docker, Kubernetes, CI/CD, cloud ML tools, model versioning.
Download curriculum

Our Alumni Are Placed At

Voices of Our 3-Year Program Students

Read how Coincent’s training, mentorship & certifications helped students build careers.

AVANI THAKUR
Thrilled to share that I’ve earned my Microsoft Certification...
THRISHA ATHA
Thrilled to share that I’ve officially cleared the Microsoft Certification exam with...
SAKSHAM GUPTA
Excited to share that I’ve earned the Microsoft Certified: Cyber Security certification!
DHRUV SARIN
I’m excited to announce that I’ve officially cleared the Microsoft Azure AI...
RAKSHITHA DHAKETA
In 2023, as part of Coincent’s 3-Year Program, I built a project where I developed...
MEGHANA KALYANI
In 2023, I embarked on a transformative journey as part of Coincent’s 3-Year...
PIYUSH RAWAT
I’m thrilled to announce that I’ve successfully completed the “Artificial Intelligence...
JATIN SHARMA
I’m thrilled to share that I have successfully completed my Artificial Intelligence...
NIRANSHU MITTAL
I’m excited to announce the successful completion of my internship in Cybersecurity...
OMBIR SHEORAN
I’m happy to announce that I’ve successfully completed my Artificial Intelligence...
SUBHAM MALLICK
I’ve completed an enriching Artificial Intelligence with Python internship...
NIKITTHA NUNE
I’m thrilled to share that I’ve successfully completed my Data Science with Python...
SUMANTRA KUMAR
I’ve successfully completed my Data Science with Python internship and training...
SHALINI CHEGIREDDY
I’ve successfully completed my Machine Learning internship with Coincent.ai...
ANIKET SHARMA
I’ve successfully completed a comprehensive Web Development course...
MASARAM RAVIKIRAN
I’m happy to share that I participated in the Web Development course...

Coincent 3 Year Program Price Details

Details & Benefits
  • Program Duration: 3 Years
    • Year 1: 2.5 Months of Live Industrial Training
    • Year 2: 3 Months of Project-Driven Learning & Real-World Application
    • Year 3: 3 Months of Guaranteed Internship and Placement Support
  • 30+ Hours of Content
  • 8 Live Projects (with mentor guidance)
  • Lifetime Dashboard Access
  • Project Completion Certificate
  • Internship Completion Certificate
  • Microsoft Certificate
  • Customized Resume Builder & Placement Assistance

3 Year
Program Fee

Rs. ₹ 3499.00/-
(per Domain)
Enroll Now

Limited Seats Available
(150 seats Each Domain)

Details & Benefits
  • Program Duration: 3 Years
    • Year 1: 2.5 Months of Live Industrial Training
    • Year 2: 3 Months of Project-Driven Learning & Real-World Application
    • Year 3: 3 Months of Guaranteed Internship & Placement Support
  • Bonus: Free Domain in Startup & Entrepreneurship
  • 70+ Hours of Content
  • 16+ Live Projects (with mentor guidance)
  • Lifetime Dashboard Access
  • Project Completion Certificate
  • Internship Completion Certificate
  • Microsoft Certificate
  • Customized Resume Builder & Placement Assistance

3 Year
Program Fee

Rs. ₹ 5499.00/-
(Combo Domain)
Enroll Now

Limited Seats Available
(150 seats Each Domain)

Frequently Asked Questions

The Coincent 3-Year Program is a structured, long-term learning track designed for students from first year to final year of engineering or related degrees. It focuses on gradually building expertise across key domains through hands-on learning, career preparation, and mentorship.

Undergraduate students in the first year of B.Tech/B.E, BCA, or B.Sc. streams are eligible to join, provided they have scored above 50% in their 12th standard. This program is ideal for students who aim to develop strong technical skills and become industry-ready by the time they graduate.

  • Structured learning from foundation to advanced levels in your chosen domain (AI, ML, Web Development, VLSI, IoT, Embedded Systems, etc.)
  • Year-wise curriculum with clear progression tracking — Download Brochure
  • Hands-on industry projects, internships, and exposure to real-world research
  • Mentorship from experienced industry professionals
  • Comprehensive career support, including resume building, mock interviews, and referral opportunities

The Coincent 3-Year Program offers multiple valuable certifications to enhance your career profile:
  • Participation & Industrial Training Certificate: Awarded by partnered companies upon successful completion of the 1st-year industrial training.
  • Microsoft Certification: Available for candidates who choose domains like Artificial Intelligence, Machine Learning, Data Science, or Cyber Security, upon clearing the relevant Microsoft exam.
  • Internship Completion Certificate: Provided by partnered companies to students who successfully complete their internship in the 3rd year.
  • Letter of Recommendation (LOR): Issued in the final year to students who have successfully completed both the internship and the placement preparation phase.

No, there are no additional charges. The total fee for enrolling in the Coincent 3-Year Program is Rs.3,500, and this includes access to Microsoft certification training and exams, as well as all other program benefits.

Coincent is able to offer this program at such an affordable cost because 50% of the program expenses are sponsored by partnered companies. These companies not only support the training but also consider hiring top-performing candidates directly in the final year.

In the first year, candidates will undergo live industrial training in selected domain. The purpose of this training is to provide real-time theoretical exposure and practical insights into the domain. The training will span approximately 2.5 months, with live sessions conducted two to three times a week by experienced industry experts.

In the second year, candidates will work on live projects under the guidance of industry experts. They will complete a total of 8 projects, providing them with valuable real-time exposure. The duration of this phase will be 2.5 months.

In the third year, candidates will participate in an internship designed to provide hands-on industry experience. During this period, they will work directly on company projects within their chosen domain. Following the internship, a comprehensive placement preparation phase will be conducted, covering aptitude, soft skills, and domain-specific interview training.

Please note that the internship will be offered only upon successful completion of the live projects conducted in the second year.

Yes, students receive year-wise, domain-specific program certifications. The certificate includes industrial training completion, internship & participation, and is endorsed by our industry partners.

Additionally, students who opt for domains such as AI, ML, Data Science, or Cybersecurity will receive a Microsoft certification as part of the program.

Yes, the Coincent 3-Year Program is designed to complement regular college academics. All learning modules are delivered through flexible evening live sessions led by industry mentors and experts.

Sessions are typically scheduled at 6:00 PM, making it convenient for students to balance both college and skill development.

You can apply through the Coincent official website(Coincent.ai) or or you can directly register by clicking on the below Link Apply Now

Absolutely. In the final year, candidates receive comprehensive placement support, which includes aptitude training, resume building, technical mock interviews, portfolio development, and Interview rounds with hiring partners.

Yes, candidates can change their selected domain within 24 hours of registration. However, we highly encourage you to register only after you’re fully confident about the domain you want to pursue and build real-time industry exposure.

Once registered, your seat is immediately reserved with one of our partnered companies. These industry partners offer only 150 domain-specific seats, and since we run just one batch per year, seat allocation is both limited and competitive.

Coincent conducts only one batch per year, with a limited intake of 150 slots per domain. This ensures a focused approach, personalized attention, and high-quality service for every student.

Coincent offers only high-demand domains to ensure that candidates gain relevant and industry-ready skills. Participants can choose one or more of the following domains:
  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Full Stack Development
  • Cyber Security
  • UI/UX Design
  • Embedded Systems
  • VLSI Design
  • IoT & Robotics
  • Startup and Entrepreneurship

No, the Coincent Program is offered exclusively to first-year students and freshers. We run only one batch per year to ensure that each candidate receives structured guidance, real-time industry exposure, and the full benefits of the complete 3-year journey.

Yes! In the second year—your Live Project Phase—you’ll work on 7 to 9 real-world projects based on your selected domain, all under the guidance of experienced industry experts. This hands-on experience is designed to strengthen your practical skills, and you'll receive continuous feedback from mentors to support your improvement and growth throughout the process.

Yes! Coincent provides direct mentorship from experienced professionals working at top companies like Microsoft, Google, Intel, and others. These mentors lead regular live sessions, offer project reviews, and provide personalized career guidance throughout the program.

All live sessions at Coincent are recorded and uploaded to your Learning Management System (LMS). You can watch them at your convenience and easily catch up before the next assignment or session.

Each student is provided with a personal learning dashboard to monitor their progress. In the first year, after completing the industrial training, an assessment will be conducted and evaluated by industry mentors. In the second year, each project will be graded to measure ongoing performance. Only candidates who successfully complete all assigned projects will qualify for the internship in the third year.

Yes! Coincent certificates are issued by our partnered industry companies, making them widely recognized and valued by employers worldwide. Additionally, candidates who choose domains like Artificial Intelligence, Machine Learning, Data Science, or Cyber Security will also receive a certificate from Microsoft upon successfully clearing the relevant exam.

Yes, mentorship is a core part of the Coincent 3-Year Program and is provided throughout all three phases.
  • In the 1st year, students receive mentorship through live industrial training sessions.
  • In the 2nd year, mentorship continues with guidance during live project work.
  • In the 3rd year, students benefit from internship mentorship along with dedicated placement support.

This continuous mentorship ensures personalized guidance and growth at every stage of the program.

Candidates are eligible to appear for the Microsoft certification exam after completing the 1st-year Industrial Training and before beginning the 2nd-year Live Project Phase.

This certification is available only for specific domains:

  • Artificial Intelligence
  • Machine Learning
  • Cyber Security
  • Data Science

Yes, the Coincent 3-Year Program includes dedicated training to help you prepare for Microsoft certification exams. Once you successfully clear the exam, you will receive an official certificate directly from Microsoft.

Yes, absolutely! The program is specifically designed for freshers, including those from non-technical backgrounds. The curriculum starts from the basics, making it easy to follow and build skills step by step. Additionally, Coincent offers only high-demand domains that are supported and delivered by our partnered companies, ensuring both quality and relevance in today’s job market.

You will have lifetime access to the dashboard. All live session recordings will also be available in the LMS section of the dashboard for you to revisit anytime.

The Coincent 3-Year Program has a no-refund policy. Once you register, your seat is reserved with one of our partnered companies, and we do not offer refunds under any circumstances.

Yes, absolutely! Interaction with instructors is highly encouraged. Since Coincent conducts only one batch per year with a limited intake of 150 candidates per domain, industry experts are able to engage directly with students during live sessions—ensuring a more personalized and interactive learning experience.

Coincent offers a full refund only if our partnered companies fail to deliver the promised services on time.

However, we strongly advise candidates to register only if they are fully clear about the program and aligned with its goals. Since there is only one batch per year per domain, your seat is instantly confirmed with the respective partnered company upon registration.

Therefore, the program is non-transferable and non-refundable under normal circumstances.

Absolutely. Coincent provides additional support including resume building tools, mock interviews, and career guidance from industry experts to help you confidently step into the job market.