Program Overview
Advanced Executive Certification in Machine Learning
Offered by: Centre for Training and Employment, CTE
Collaboration with: Council for Citizen Rights, CCR (NGO)
Duration: 5 months
Mode: Online and Offline

Regular Classes Start from 21 April (Monday).
Enrollments open till 20th April, Sunday. 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:

•  420 hours of applied learning
•  Live In in-person classroom and 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
•  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

Learning Path and Roadmap

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

1. Foundation  

•     Python Basics, SQL, and Data Wrangling  

2. Core Machine Learning  

•     ML Concepts: Regression, Classification, Clustering  
•     Deep Learning and Neural Networks  

3. Advanced Applications  

•     Supervised/Unsupervised Learning, NLP, and Generative AI  

4. Visualization and Business Tools  

•     Power BI, MS Excel  

Our Credentials:

•  Certified & Placed Students: 75 Thousand+  
•  Instructors: 56+ Industry Experts  
•  Hiring Partners: 125+  
•  Corporates & Colleges Upskilled: 175+  
•  States in India with Learners: 18+  

Why Machine Learning (ML)?

Hottest Job Roles: Machine Learning is a top career choice, with the ML industry projected to grow at a 39.4% CAGR globally.

High Demand: By 2025, there will be over 2.3 million job postings for ML-related roles worldwide, fueled by the increasing reliance on ML technologies.

Salary Potential: ML professionals can earn 50–60% higher than average IT salaries, with a significant talent shortage creating a high demand for skilled experts.

Skill Development: Gain expertise in areas such as supervised and unsupervised learning, deep learning, neural networks, and reinforcement learning to stay ahead in the field.

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  

Module 1: Preparatory Session - Python

•  Introduction to Python and IDEs  
•  Python Basics  
•  Object-Oriented Programming  
•  Hands-on Sessions and Assignments  

Module 2: Data Wrangling with SQL

•  SQL Basics  
•  Advanced SQL  
•  Deep Dive into User Defined Functions  
•  SQL Optimization and Performance  
•  Hands-on Exercises  

Module 3: Python with Data Science

•  Extract, Transform, Load (ETL)  
•  Data Handling with NumPy  
•  Data Manipulation using Pandas  
•  Data Preprocessing  
•  Data Visualization  

Module 4: Linear Algebra and Advanced Statistics

•  Descriptive Statistics  
•  Probability  
•  Inferential Statistics  

Module 5: Machine Learning

•  Introduction to Machine Learning  
•  Regression, Classification, Clustering  

Module 6: Supervised and Unsupervised Learning in ML

•  Supervised Learning  
•  Unsupervised Learning  

Module 7: Deep Learning Using TensorFlow

•  Artificial Intelligence Basics  
•  Neural Networks  
•  Deep Learning  
•  Electives

 Module 8: Power BI

•    Power BI Basics  
•    DAX  
•    Data Visualization with Analytics  

 Module 9: Data Analysis with MS-Excel

•    Excel Fundamentals  
•    Excel for Data Analytics  
•    Data Visualization with Excel  
•    Excel Power Tools  
•    Classification Problems Using Excel  
•    Regression Problems Using Excel  

Projects
1. Face Detection  

•     Detect multiple faces in an image using Python and OpenCV.

2. Work with PySpark & RDD  

•     Use RDD and SparkConf for managing configurations in Spark applications.

3. Book Recommender Application  

•     Create a collaborative filtering model for book recommendations.

4. Restaurant Revenue Prediction  

•     Use ensemble models to predict annual restaurant sales.

5. Census Project  

•     Handle missing data and predict annual income using a census dataset.

6. Housing Price Prediction  

•     Predict housing prices with multiple explanatory variables.

7. HR Analytics  

•     Analyze HR datasets for predictive insights.

8. Joke Rating Prediction  

•     Predict joke ratings using data from an online joke recommender system.

Industries Covered:  
Retail, Social Media, Supply Chain, E-commerce, Banking, Healthcare, Insurance, Entrepreneurship

ML Job opportunities and roles:

1. Data Scientist:

Responsibilities: Analyzing and interpreting complex data sets, developing machine learning models, and providing actionable insights. 

Skills: Statistical analysis, programming (e.g., Python, R), machine learning algorithms, data visualization.

2. Machine Learning Engineer: 

Responsibilities: Designing and implementing machine learning models, optimizing algorithms for deployment, and working on end-to-end machine learning systems. 

Skills: Software development, deep learning frameworks (e.g., TensorFlow, PyTorch), model deployment.

3. AI Research Scientist:

Responsibilities: Conducting research to advance the field of artificial intelligence, developing new algorithms, and contributing to academic and industry publications. 

Skills: Strong research background, expertise in machine learning, programming skills.

4. Data Analyst:

Responsibilities: Analyzing and interpreting data to help organizations make informed decisions, creating visualizations, and presenting insights. 

Skills: Data analysis, statistical modeling, data visualization, SQL.

5. Business Intelligence Analyst:

Responsibilities: Transforming data into actionable intelligence, designing and maintaining business intelligence dashboards, and helping businesses make data-driven decisions. 

Skills: Business intelligence tools, data analysis, SQL.

6. Computer Vision Engineer: 

Responsibilities: Developing algorithms for image and video analysis, working on projects related to facial recognition, object detection, and image classification. 

Skills: Computer vision, image processing, deep learning.

7. NLP (Natural Language Processing) Engineer: 

Responsibilities: Working on projects involving language understanding, sentiment analysis, chatbots, and other applications of natural language processing. 

Skills: Text mining, NLP libraries (e.g., NLTK, SpaCy), deep learning for NLP.

8. Quantitative Analyst (Quant): 

Responsibilities: Applying mathematical and statistical models to financial data, developing algorithms for trading strategies, risk assessment, and financial forecasting. 

Skills: Quantitative modeling, financial mathematics, programming

9. Robotics Engineer:

Responsibilities: Designing and developing algorithms for autonomous systems, working on robotic perception, and contributing to the development of robotic control systems. 

Skills: Robotics, computer vision, machine learning.

10. AI Product Manager:

Responsibilities: Managing the development of AI products, understanding market needs, collaborating with cross-functional teams, and ensuring the successful deployment of AI solutions. 

Skills: Product management, business strategy, understanding of AI technologies.

Student Testimonials

•  Anoop Prasad: "The trainers are domain experts. The course's prompt support is its highlight."  
•  Manas Ranjan: "The syllabus is organized; 24/7 support adds immense value."  

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: ₹17,500
• Training and Placement: ₹28,500 (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: ₹17,500
  • After Placement: ₹58,500

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. 

"Become a Machine Learning expert and shape the future of technology!"