About Digital Lync

Digital Lync
AI Training in Hyderabad
Fundamentals Of Data & IT
Python for AI
Math & Stat for AI
Machine Learning
Deep Learning
AI Application & GEN AI
Cloud & DevOps for AI
  • Online & ClassRoom Real-Time training
  • Project & Task Based Learning
  • 24/7 Learning Support with Dedicated Mentors
  • Interviews, Jobs and Placement Support
50000 + Students Enrolled
4.7 Rating (500) Ratings
60 Days Duration
DevOps

Why AI Program ?

8 LPA Avg package
44 % Avg hike
3000 + Tech transitions
2.5k
2k
1.5k
1k
0k

Anual Average Salaries

Min (6L)
Avg (15L)
Max (30L)
Demand
Demand
70%

Managers said
hiring Fullstack engineers
was top priority

9 LPA Avg package
46 % Avg hike
4000 + Tech transitions
2.5k
2k
1.5k
1k
0k

Anual Average Salaries

Min (4L)
Avg (12L)
Max (25L)
Demand
Demand
87%

Managers said
hiring Fullstack engineers
was top priority

10 LPA Avg package
48 % Avg hike
2000 + Tech transitions
2.5k
2k
1.5k
1k
0k

Anual Average Salaries

Min (8L)
Avg (15L)
Max (40L)
Demand
Demand
80%

Managers said
hiring Fullstack engineers
was top priority

9 LPA Avg package
48 % Avg hike
3000 + Tech transitions
2.5k
2k
1.5k
1k
0k

Anual Average Salaries

Min (97L)
Avg (15L)
Max (20L)
Demand
Demand
83%

Managers said
hiring Fullstack engineers
was top priority

8 LPA Avg package
44 % Avg hike
3000 + Tech transitions
2.5k
2k
1.5k
1k
0k

Anual Average Salaries

Min (7L)
Avg (16L)
Max (30L)
Demand
Demand
87%

Managers said
hiring Fullstack engineers
was top priority

7 LPA Avg package
46 % Avg hike
3000 + Tech transitions
2.5k
2k
1.5k
1k
0k

Anual Average Salaries

Min (9L)
Avg (18L)
Max (40L)
Demand
Demand
87%

Managers said
hiring Fullstack engineers
was top priority

Our Alumni Work at Top Companies

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Explore the Digital Lync way
1

Learn

Learn from Curated Curriculums developed by Industry Experts

AI Curriculum

It stretches your mind, think better and create even better.
Fundamentals of Data & IT

Topics :

What is an Application?

Overview of applications and their significance.

Types of Applications

Classification and examples of various application types.

Fundamentals of Web Applications

Basic concepts and components of web applications.

Web Application Architecture

Structure and design patterns in web application architecture.

Web Technologies used in Projects

Key technologies and frameworks used in web application development.

Topics :

Introduction to Software Development Life Cycle

The phases, importance, and overview of SDLC.

Application Lifecycle Management - ALM

Tools, processes, and overview of ALM.

SDLC Methodologies

Examination of different methodologies used in software development.

DevOps Process

Understanding the principles, practices, and benefits of DevOps.

Topics

1. Introduction To Agile & Scrum

Fundamental overview of Agile methodologies and the Scrum framework.

2. The Principles of Agile Methodology

Core principles of Agile focusing on iterative development and customer collaboration.

3. Scrum Framework: Roles, Artifacts, and Events

Key components of Scrum, including its roles, artifacts, and structured events.

4. Implementing Agile with Scrum

Strategies for applying Agile and Scrum practices in software development projects.

5. Agile Project Management Best Practices

Essential practices for leading Agile projects, emphasizing communication and continuous improvement.

Python for AI

Topics Covered:

Python Syntax and Basic Constructs

Control Flow and Functions

Object-Oriented Programming in Python

NumPy for Numerical Data

Pandas for Data Cleaning and Preparation

Data Visualization with Matplotlib and Seaborn

Working with APIs and Web Data

Introduction to Web Scraping

File Handling and Data Persistence

Advanced Data Structures

Python Decorators, Generators, and Context Managers

Multithreading and Multiprocessing for Performance Optimization

TensorFlow Basics

Keras for Deep Learning Models

PyTorch Introduction

Mathematics and Statistics for AI

Vectors, Matrices, and Linear Transformations

Eigenvalues and Eigenvectors

Application in AI and ML

Differential Calculus and Gradients

Optimization Algorithms

Application in Neural Network Training

Basics of Probability

Probability Distributions

Bayesian Thinking in AI

Descriptive Statistics and Inferential Statistics

Hypothesis Testing and Confidence Intervals

Correlation vs. Causation

Discrete Mathematics Concepts

Graph Theory and Network Models

Continuous Optimization and Constraint Satisfaction

Machine Learning

Types of Machine Learning: Supervised, Unsupervised, and Reinforcement

Bias-Variance Tradeoff

Evaluating Machine Learning Models

Classification Algorithms

Regression Analysis

Ensemble Learning Methods

K-means and Hierarchical Clustering

Dimensionality Reduction Techniques: PCA, t-SNE

Association Rule Learning

Time Series Data and Its Components

ARIMA and Seasonal ARIMA

Using Machine Learning for Time Series Prediction

Principles of Reinforcement Learning

Markov Decision Processes

Implementing Q-Learning and Deep Q-Networks (DQN)

Deep Learning

Understanding Deep Learning and Neural Networks

Activation Functions, Loss Functions, and Optimization Techniques

Building Your First Neural Network

Introduction to CNNs and Their Architecture

Implementing CNNs for Image Recognition and Classification

Advanced CNN Techniques for Computer Vision

Understanding RNNs and Their Applications

Long Short-Term Memory Networks (LSTMs) for Sequential Data Processing

Use Cases: Text Generation, Time Series Forecasting

Topics

Fundamentals of GANs and Their Architecture

Building Simple Generative Models with GANs

Exploring Autoencoders for Data Compression and Generation

Basics of Attention Mechanisms and Transformer Architecture

Implementing Transformer Models for NLP Tasks

Understanding BERT, GPT, and Other Variants

AI Applications

Text Preprocessing and Feature Extraction Techniques

Sentiment Analysis, Named Entity Recognition (NER), and Text Summarization

Chatbots and Language Models

Object Detection and Image Segmentation Techniques

Facial Recognition Systems

Autonomous Vehicles and Drone Technology

Deep Reinforcement Learning for Game Playing

Applying RL in Robotics and Autonomous Systems

RL in Finance and Healthcare

Ensuring Fairness and Transparency in AI Models

Data Privacy and Security in AI Applications

AI Governance and Regulatory Compliance

Quantum Computing for AI

Edge AI and Its Applications

The Future of AI: Trends and Predictions

Cloud and DevOps for AI

Overview of AWS, Google Cloud, and Azure for AI

Leveraging Cloud AI Services for Model Training and Deployment

Big Data Technologies and AI: Integrating Apache Spark and Hadoop

Introduction to MLOps and Its Importance

Continuous Integration and Continuous Deployment (CI/CD) for AI

Monitoring and Managing AI Models in Production

Techniques for Model Deployment: API, Docker Containers, and Microservices

Scalability and Performance Optimization

User Interfaces for AI Applications

Security Best Practices in AI Deployment

Techniques for Monitoring AI Systems for Anomalies and Performance Issues

Automated Remediation and Alerting Strategies

Emerging Tools and Platforms for AI Deployment

Ethics and Responsible AI in Deployment

Preparing for Future Technological Advances in AI

2

Build

Work on our Real-time Projects , Task Based

LMS Project

LMS Project

An LMS project develops a digital platform for online learning, featuring course creation, content management, user tracking, assessments, and reporting, aimed at enhancing educational interaction.

HRMS Project

HRMS Project

The HRMS project develops a digital system for managing HR functions like employee data, payroll, recruitment, and performance, aiming to streamline processes and enhance organizational efficiency.

CRM Project

CRM Project

A CRM project develops a system to manage company interactions with customers, incorporating tools for contact, sales, productivity, and support to enhance service, drive sales, and boost retention.

3

Get Certification

Internships and Course certifications for Enhanced Skill Validation.

Internship Certificate

Certificate

Course Completion Certificate

Certificate
4

Get Job

Our focus on job-readiness Github Profile, Linkedin Profile, Resume Prep and Help Apply

  • GitHub Profile

    Guidance on creating and maintaining a professional GitHub profile to showcase technical projects and coding prowess.

  • LinkedIn Profile

    Assistance in crafting a compelling LinkedIn profile for networking and visibility among recruiters.

  • Resume Preparation

    Expert advice on resume writing to effectively highlight skills, experience, and achievements.

  • Help in Applying

    Support in identifying suitable job opportunities and navigating the application process.

Globe

IT Engineers who got Trained from Digital Lync

Satish Korlapati

Senior Associate Consultant
DevOps engineers

Raveena Reddy

SRE/DevOps Engineer
DevOps engineers

Akhil Nagothu

Cloud Devops Engineer-2
DevOps engineers

Vijay Kumar Putturu

Cloud Devops Engineer
DevOps engineers

Upcoming Batch Schedule

Week Day Batches
(Mon-Fri)

25th Sept 2023
Monday

8 AM (IST)
1hr-1:30hr / Per Session

Week Day Batches
(Mon-Fri)

27th Sept 2023
Wednesday

10 AM (IST)
1hr-1:30hr / Per Session

Week Day Batches
(Mon-Fri)

29th Sept 2023
Friday

12 PM (IST)
1hr-1:30hr / Per Session

Can’t find a batch you were looking for?

Why Digital Lync

50,000+ Learners
5000+ Batches
10+ Years
24/7 Support

Learn. Build. Get Job.

50,000+ uplifted through our hybrid classroom & online training,
enriched by real-time projects and job support.

Our Locations

Come and chat with us about your goals over a cup of coffee

Locations
Hyderabad, Telangana

2nd Floor, Hitech City Rd, Above Domino's, opp. Cyber Towers, Jai hind Enclave, Hyderabad, Telangana,

Locations
Bengaluru, Karnataka

3rd Floor, Site No 1&2 Saroj Square, Whitefield Main Road, Munnekollal Villag Post, Marathahalli, Bengaluru, Karnataka

Locations
Kakinada, Andhra

Madhav Nager Main Road, Opp SBI Bank, Opp SP Office, Kakinada,
Andhra Pradesh

Call Us