Program Overview

Advanced Executive Certification in Data Science and Artificial Intelligence (AI) & Machine Learning (ML)
Offered by: Centre for Training and Employment, CTE
Collaboration with: Council for Citizen Rights, CCR (NGO) - National Mission Technical Education for Employment Wing
Duration: 6-7 months
Mode: Online and Offline

Regular Classes Start from 10th March (Monday).
Enrollments open till 10th March, Monday. Choose your preferred Weekday or Weekend Batches with timings:
1) Morning: 9:00 AM / 11:00 AM
2) Evening: 6:00 PM / 8:00 PM

For Assistance:
Call/WhatsApp: 9281434941, 9281434940, 9281434939, 9949073398
WhatsApp Only: 8072211686, 9346000855
Visit our centers for in-person guidance.

Key Features:

• 310 Hrs of SME led Training & 110 Hrs of Projects & Exercises
• LIVE in-person classroom and LIVE Online Video Classes
• Each Session Live Recordings, Study Materials, Program Files, Assignments, Projects, Quizes available in Learning Management System (LMS) Portal after the class
• Lifetime Access to Course
• 1:1 mentorship & 24/7 Technical Support till course completion & getting job
• 50+ industry projects
• Certification from the Centre for Training and Employment (MSME, ISO, AICTE)
• Guranteed Job Assistance Till Placement
• Campus immersion at India's reputed Universities, Institutions, MNCs, Industries
• Up to ₹50 Lakh startup incubation support

Our Credentials:

•  Certified & Placed Students: 15 Thousand+
•  Instructors: 56+ Industry Experts  
•  Hiring Partners: 125+  
•  Corporates & Colleges Upskilled: 175+  
•  States in India with Learners: 18+  

Why Data Science, Artificial Intelligence (AI), and Machine Learning (ML)?

• Hottest Job Roles: Data Science, AI, and ML are among the top career choices, with AI and ML industries projected to grow at a 39.4% CAGR globally.
• High Demand: Over 2.3 million job postings globally by 2025 for AI and ML roles, with a rising demand for skilled Data Scientists.
• Salary Potential: Professionals earn 50–60% higher than average IT salaries, thanks to the growing talent gap (700,000 roles unfilled in India and the US).
• Skill Development: Master cutting-edge skills like machine learning algorithms, data visualization, predictive modeling, natural language processing (NLP), and deep learning.

Learning Path and Roadmap

Roadmap, Skills & Tools, Learning Path of the Course - available at LinkedIn: https://lnkd.in/g2KAhusq

1. Foundation: Start with Python, Libraries for DS, AI, ML, and SQL for core data handling.  
2. Analytics: Progress into inferential analytics and statistical techniques.  
3. Machine Learning: Cover both supervised and unsupervised algorithms.  
4. Specializations: NLP and Generative AI 
5. Advanced AI & Deployment: Focus on deep learning, MLOps, and visualization tools.  
6. Capstone Project: Solve real-world industry problems.

Key Skills to Master  

•  Programming: Python, SQL, Git  
•  Data Engineering: PySpark, Data Wrangling, Azure Data Factory  
•  Data Analysis: Pandas, NumPy, SciPy, Data Wrangling  
•  Machine Learning: Regression, Classification, Clustering, Prediction Algorithms  
•  AI & Advanced Analytics: NLP, AI Models, Storytelling with Data  
•  Data Visualization: Matplotlib, Power BI, Excel Analytics  
•  MLOps & Deployment: MLOps Pipelines, Model Deployment  

Tools You'll Use  

•  Python Ecosystem: Pandas, NumPy, TensorFlow, SciPy, Jupyter  
•  Big Data & Analytics: PySpark, Spark SQL  
•  Visualization Tools: Matplotlib, Power BI, DAX, Excel  
•  Cloud Services: Azure Data Factory  
•  Version Control: Git

Top paid Jobs:

1. Data Science Intern: ₹20,000 - ₹40,000/month  
2. Machine Learning Engineer: ₹6,00,000 - ₹25,00,000/year  
3. Data Scientist: ₹8,00,000 - ₹20,00,000/year  
4. Computer Vision Engineer: ₹7,00,000 - ₹14,00,000/year  
5. Natural Language Processing (NLP) Engineer: ₹7,50,000 - ₹15,00,000/year  
6. AI Software Developer: ₹6,50,000 - ₹13,00,000/year  
7. Robotics Engineer: ₹8,00,000 - ₹16,00,000/year  
8. AI Researcher: ₹10,00,000 - ₹20,00,000/year  
9. AI Consultant: ₹12,00,000 - ₹25,00,000/year  
10. Ethical AI Specialist: ₹9,00,000 - ₹18,00,000/year  
11. IoT Specialist: ₹7,00,000 - ₹15,00,000/year  
12. AI Product Manager: ₹15,00,000 - ₹30,00,000/year  
13. AI Engineer: ₹10,00,000 - ₹30,00,000/year  
14. Big Data Engineer: ₹8,00,000 - ₹18,00,000/year

Faculty and Advisors

•  Renowned professors
•  Industry experts

Career Services

•  1:1 Mock Interviews  
•  Dedicated Placement Support  
•  Career Fairs and Resume Building  
•  Access to 200+ job postings monthly  

Detailed Modules

Module 1: Python

•    Introduction to Python and IDEs
•    Python Basics, Control Structures, Data Structures
•    Object-Oriented Programming
•    Hands-on Sessions and Assignments for Practice

Module 2: Python Libraries For Data Science

•   Data Handling with NumPy
•   Data Manipulation Using Pandas
•   Data Preprocessing
•   Data Visualization (Matplotlib)

Module 3: Data Transformation Using SQL

•  SQL Basics  
•  Advanced SQL  
•  User Defined Functions
•  SQL Optimization and Performance  

Module 4: Inferential Analytics

•  Statistics and Descriptive Analytics using MS Excel
•  Python for Descriptive, Diagnostic, and Inferential Statistics
•  Prescriptive Analytics

Module 5: Machine Learning

•  Introduction to Machine Learning
•  Regression
•  Classification
•  Clustering

Module 6: Supervised Learning

•  Linear Regression
•  Logistic Regression
•  Decision Tree
•  Random Forest & More

Module 7: Unsupervised Learning

•  K-means
•  Dimensionality Reduction
•  Linear Discriminant Analysis
•  Principal Component Analysis

Module 8: Advanced Machine Learning Algorithms

•  Bagging and Boosting Algorithms  
•  Other Machine Learning Algorithms  
•  Predictive Analytics  
•  Cognitive Science and Analytics  

Module 9: Deep Learning Using TensorFlow

•  Artificial Intelligence Basics
•  Neural Networks
•  Deep Learning

Module 10: Natural Language Processing

•  Text Mining, Cleaning, and Pre-processing
•  Text Classification, NLTK, Sentiment Analysis
•  Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
•  AI Chatbots and Recommendations Engine

Module 11: Fundamentals of Generative AI Frameworks

•  LSTM (Long Short-Term Memory)
•  Transformers
•  BERT (Bidirectional Encoder Representations from Transformers)
•  GPT (Generative Pre-trained Transformer)
•  LLM (Large Language Models)
•  VAEs (Variational Autoencoders)

Module 12: Prompt Engineering & Application-Based Generative AI

•  Prompt Engineering
•  Image-Based Applications 
•  Text-Based Applications 
•  Audio-Based Applications 

Module 13: Power BI

•  Power BI Basics
•  DAX (Data Analysis Expressions)
•  Data Visualization with Analytics

Module 14: MLOps (Machine Learning Operations)

•  Introduction to MLOps
•  Deploying Machine Learning Models

Module 15: Data Science & AI, ML Capstone Projects

•  Comprehensive Capstone Project  

Module 16: Business Case Studies

•  Solving real-world business problems

Real-Time Projects:

1. Real Estate and Finance
 Real Estate Analytics  

•     Industry Sector: Real Estate, Property Investment  
•     Analyze real estate market data to predict property prices, identify key factors influencing price trends, and make data-driven predictions. This project helps students learn regression models and visualization techniques for real estate decision-making.

 Stock Price Prediction  

•     Industry Sector: Finance, Trading  
•     Predict stock prices using historical data and time series analysis. Students will use machine learning algorithms such as ARIMA and LSTM networks to forecast stock trends. The project involves understanding financial data and applying predictive models to stock market analysis.

 Housing Price Prediction  

•     Industry Sector: Real Estate, Banking  
•     Use various factors like location, size, and economic conditions to predict housing prices. Students will apply regression models and gain hands-on experience with feature selection, data preprocessing, and regression techniques used in real estate valuation.

 Banking Problem  

•     Industry Sector: Banking, Finance  
•     Solve challenges such as loan default prediction, fraud detection, and customer segmentation in banking. This project introduces students to classification and regression techniques for financial data and real-world applications in the banking sector.

2. Renewable Energy
 Solar Power Efficiency  

•     Industry Sector: Renewable Energy, Energy Management  
•     Analyze and optimize the performance of solar power systems. Using environmental and operational data, students will apply machine learning to predict and enhance the efficiency of solar panels, crucial for renewable energy management.

3. Weather and Environmental Monitoring
 Weather Forecasting  

•     Industry Sector: Meteorology, Environmental Science  
•     Build models to predict weather patterns like temperature and rainfall using historical data. Students will learn time series modeling, classification techniques, and how to apply machine learning to environmental data for forecasting.

4. Computer Vision and Image Processing
 Image Classification  

•     Industry Sector: Computer Vision, Healthcare, Security  
•     Use Convolutional Neural Networks (CNNs) to classify images into categories such as objects or digits. Students will work with datasets like CIFAR-10 or MNIST to train models that perform image recognition, ideal for applications in automation and security.

 Gesture Recognition  

•     Industry Sector: Computer Vision, Human-Computer Interaction, Healthcare  
•     Develop systems to recognize human gestures using computer vision techniques. Students will apply machine learning to capture video or images and identify actions, useful for real-time applications such as controlling devices through gestures.

 American Sign Language (ASL) Recognition  

•     Industry Sector: Healthcare, Accessibility, Education  
•     Build a model to recognize American Sign Language gestures and convert them into text or speech. This project focuses on image recognition and can contribute to improving communication for the hearing-impaired through gesture recognition.

 Object Detection  

•     Industry Sector: Security, Autonomous Vehicles, Robotics  
•     Implement object detection algorithms like YOLO (You Only Look Once) or Faster R-CNN. Students will learn to detect and classify objects within images or video streams, applicable in industries like surveillance, autonomous vehicles, and security.

5. Natural Language Processing (NLP) and Social Media
 Sentiment Analysis  

•     Industry Sector: Social Media, Marketing, Customer Service  
•     Analyze and classify the sentiment of text data, such as customer reviews or social media posts, using Natural Language Processing (NLP). Students will apply machine learning algorithms to determine sentiment polarity (positive, negative, neutral) and gain insights into customer feedback.

6. Recommendation Systems and E-Commerce
 Recommendation Engine  

•     Industry Sector: E-Commerce, Entertainment, Retail  
•     Develop personalized recommendation systems for products or content based on user preferences. Students will use collaborative filtering and content-based filtering to create systems like those used by platforms like Netflix, Amazon, and YouTube.

7. Artificial Intelligence and Machine Learning (AI/ML)
 Rating Predictions  

•     Industry Sector: E-Commerce, Hospitality, Entertainment  
•     Predict customer ratings for products or services using machine learning algorithms. Students will apply regression techniques to predict how future customers will rate products, helping businesses improve user experiences and feedback.

 AI Chatbot  

•     Industry Sector: Customer Service, E-Commerce, Healthcare  
•     Create a chatbot using Natural Language Processing (NLP) that can interact with users in real-time, answering questions and providing assistance. This project demonstrates the use of AI and machine learning to create conversational agents for customer support and interaction.

8. Big Data and Analytics
 Census Analysis  

•     Industry Sector: Government, Public Policy, Demographics  
•     Analyze large-scale census data to study population trends, socio-economic factors, and regional disparities. Students will clean, explore, and apply advanced analytics techniques to understand demographic patterns and make data-driven decisions.

 Stock Market Analysis  

•     Industry Sector: Finance, Trading, Economics  
•     Perform in-depth analysis of stock market data to identify trends and make investment predictions. Students will use data visualization, time series forecasting, and machine learning to predict stock prices and assess market performance.

Top Job Roles 
1. Data Scienece Intern

Responsibilities: Assist in data cleaning, analysis, building ML models, and creating visualizations while supporting team projects.

Skills: Python (Pandas, NumPy, Scikit-learn), SQL, Data Visualization (Power BI, Tableau, Matplotlib), Basic Machine Learning ConceptsStatistical Analysis

2. Machine Learning Engineer: 

Responsibilities: Design, implement, and deploy machine learning models for various applications. 

Skills: Machine Learning, Python, TensorFlow, Scikit-Learn.

3. Data Scientist: 

Responsibilities: Analyze and interpret complex datasets, providing valuable insights and predictions. 

Skills: Data Analysis, Statistical Modeling, Machine Learning.

4. Computer Vision Engineer: 

Responsibilities: Develop algorithms for image and video processing, object detection, and recognition. 

Skills: Computer Vision, OpenCV, Deep Learning.

5. Natural Language Processing (NLP) Engineer: 

Responsibilities: Work on projects involving language understanding, sentiment analysis, and chatbot development. 

Skills: Natural Language Processing, NLTK, SpaCy, TensorFlow.

6. AI Software Developer: 

Responsibilities: Develop software applications that incorporate AI components or features.

Skills: Software Development, Python, AI Integration.

7. Robotics Engineer: 

Responsibilities: Design and develop robotic systems using AI algorithms for navigation, perception, and control. 

Skills: Robotics, Reinforcement Learning, Python.

8. AI Researcher: 

Responsibilities: Contribute to cutting-edge AI research, exploring new algorithms and techniques. 

Skills: Strong mathematical background, Deep Learning, Research Skills.

9. AI Consultant: 

Responsibilities: Advise businesses on implementing AI solutions, addressing challenges, and maximizing benefits. 

Skills: Business Acumen, Communication, AI Implementation.

10. Ethical AI Specialist: 

Responsibilities: Ensure AI systems are developed and used ethically, addressing bias and fairness concerns. 

Skills: Ethical AI, Bias Detection, Mitigation Strategies.

11. IoT Specialist:

Responsibilities: Implement AI solutions for IoT applications, connecting devices and enabling intelligent automation. 

Skills: IoT Integration, AI for Automation.

12. AI Product Manager: 

Responsibilities: Oversee the development and launch of AI-based products, coordinating cross-functional teams. 

Skills: Product Management, AI Strategy, Communication.

Innovative Features:  

•  Learn by Doing: Hands-on exercises, projects, quizzes, assignments and capstone projects.
•  Gamified Learning: Hackathons and group activities.
•  Peer Networking: Build professional connections through collaborative learning.

Program Pedagogy: 

• Instructor-led Training: Delivered by top industry experts.  
• Projects and Exercises: Gain real-world experience.  
• Hackathons: Understand real-world project-building techniques.  
• Personalized Learning: Tailored 1:1 mentoring. 

About Centre for Training and Employment (CTE):

CTE is a leading online education provider, and also classroom / offline services partnering with prestigious colleges and industries, consultants.

Mission: Democratizing education with cutting-edge training solutions.  

Placement Sources

1. Premium Job Portals:

•      Naukri, LinkedIn, Glassdoor, Monster, and Indeed for job matching and direct applications.

2. Hiring Companies Requirement List:

•      Regular updates from partnered companies about open roles and skill demands.

     Industry-specific collaborations (e.g., IT, Banking, Healthcare, E-commerce).

3. HR Connections:

•     Build a network of HR professionals for referrals and insights into recruitment trends.

    Conduct periodic meetups and webinars with HR executives.

4. Consultations and Industry Experts:

•     Collaborate with career consultants and market experts to refine placement strategies.

5. Recruitment Agencies:

•     Partnerships with top recruitment agencies for exclusive job openings.

6. Company Tie-Ups:

•      Direct collaborations with companies for hiring events and job drives.

7. Internship Providers:

•      Companies offering internships, leading to pre-placement offers (PPOs).

8. Freelance and Gig Platforms:

•       Platforms like Upwork, Toptal, and Fiverr for freelance and contract-based work opportunities.

9. Networking Events:

•       Job fairs, industry conferences, and alumni networking for connecting with employers.

10. Technology Tools:

•      Use of Applicant Tracking Systems (ATS) and AI-driven tools for job search optimization.

Flexible Fee Structure and Payment Options

• At CTE Academy, we aim to make quality education accessible and affordable for everyone. 
• Explore our flexible fee categories, scholarships, and EMI options tailored to suit your financial needs.

Fee Categories

• Training Only: ₹19,500
• Training and Placement: ₹34,500 (EMI options available)
• Book for Offline - Classroom (Hyderabad, Vijayawada, Siddipet) / Work and Learn:
  • Reserve Seat for ₹3,000
  • Fees structure same as Online via LMS
• Pay After Placement:
  • Before Placement: ₹19,500
  • After Placement: ₹64,500

Scholarship Program

• Who Can Apply: Unemployed and underprivileged candidates
• Scholarship Amount: 10% to 40% off on the One-Time Payment (OTP) fees

Exclusive EMI Plans - CTE Academy via Unacademy (Graphy) Collaboration with several organizations:

• Make learning stress-free with our easy-to-manage EMI options. 

"Education made easy – success made inevitable!"