Program Overview
Advanced Executive Certification in 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: 5 months
Mode: Online and Offline
Regular Classes Start from 28th December (Saturday)
Enrollments open till 27th December, Friday. 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:
- 260 Hrs of SME led Training & 90 Hrs of Projects & Exercises
- Live In in-person classroom and Video Classes
- Each Session Live Recordings available in Learning Management System (LMS) Portal
- 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
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 Artificial Intelligence / Machine Learning (AI / ML)?
- Hottest Job Roles: AI is among the top career choices, with the industry projected to grow at a 31.6% CAGR globally, offering exciting opportunities like AI Engineer, Machine Learning Engineer, and NLP Specialist.
- High Demand: Over 2.1 million AI job postings globally by 2025, with increasing demand for skilled AI professionals, especially in India and the US.
- Salary Potential: AI professionals earn 50–60% higher than average IT salaries, with 600,000 roles currently unfilled, reflecting the growing talent gap.
- Skill Development: Master advanced skills like machine learning algorithms, deep learning, natural language processing (NLP), and predictive modelling to stay ahead in the industry.
- Future Opportunities: AI opens doors to roles in global tech firms, startups, and research institutions, making it the ideal choice for a future-proof career.
Learning Path and Roadmap
Roadmap, Skills & Tools, Learning Path of the Course - available at LinkedIn:
https://lnkd.in/g2KAhusq
1. Foundation
- Python and SQL basics.
- Data transformation and statistics.
2. Core AI Concepts
- Machine Learning, Deep Learning, and AI basics.
- NLP and Computer Vision (optional).
3. Advanced Topics
- Generative AI and Prompt Engineering.
- Reinforcement Learning.
Key Skills to Master
- Programming: Python, SQL, Git
- Data Engineering: PySpark, Data Wrangling
- Data Analysis: Pandas, NumPy, SciPy, Data Wrangling
- Machine Learning: Regression, Classification, Clustering, Prediction Algorithms
- Data Visualization: Matplotlib, 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
- Version Control: Git
Top paid Jobs:
- Machine Learning Engineer: ₹6,00,000 - ₹25,00,000/year
- Computer Vision Engineer: ₹7,00,000 - ₹14,00,000/year
- Natural Language Processing (NLP) Engineer: ₹7,50,000 - ₹15,00,000/year
- AI Software Developer: ₹6,50,000 - ₹13,00,000/year
- Robotics Engineer: ₹8,00,000 - ₹16,00,000/year
- AI Researcher: ₹10,00,000 - ₹20,00,000/year
- AI Consultant: ₹12,00,000 - ₹25,00,000/year
- Ethical AI Specialist: ₹9,00,000 - ₹18,00,000/year
- IoT Specialist: ₹7,00,000 - ₹15,00,000/year
- AI Product Manager: ₹15,00,000 - ₹30,00,000/year
- AI Engineer: ₹10,00,000 - ₹30,00,000/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
1. Programming Essentials for Artificial Intelligence
- Python setup and basics.
- Object-oriented programming concepts.
- Hands-on Python practice.
2. Data Transformation & Management Using SQL
- Introduction to SQL and advanced queries.
- Performance optimization techniques.
3. Data Processing Using Python
- Loading and processing data.
- Data manipulation and visualization techniques.
- Practice exercises for data processing.
4. Statistical Evidence-Based Analysis
- Probability basics and descriptive statistics.
- Inferential statistics and evidence-based analysis.
- Hands-on exercises for statistical concepts.
5. Machine Learning
- Advanced machine learning algorithms.
- Supervised vs. unsupervised learning.
- Classification, regression, clustering, and forecasting.
6. Foundations of Deep Learning
- Introduction to deep learning concepts.
- Basics of neural networks.
7. Introduction to Artificial Intelligence
- Convolutional and recurrent neural networks.
- Image and text classification techniques.
8. Generative AI Fundamentals
- LSTM, Transformers, BERT, GPT, and LLM concepts.
9. Prompt Engineering for Generative AI
- Writing effective Generative AI prompts for development and e-commerce.
10. Natural Language Processing (Elective)
- Text processing and classification.
- Language modeling and chatbot development.
11. Computer Vision (Elective)
- Introduction to object detection techniques using deep neural networks.
12. Reinforcement Learning
- Fundamentals of reinforcement learning.
- Markov Decision Processes and Bandit methods.
Projects and Practical Learning
1. Restaurant Revenue Prediction Model
- Tools: Caret, Boruta, Dplyr
- Outcome: Predict annual restaurant sales.
2. Book Recommender System
- Tools: Dplyr, Tidyr, Stringr
- Outcome: User-based collaborative filtering.
3. PySpark & RDD-based Applications
- Key Component: Configure Spark applications.
4. Face Detection Model
- Tools: OpenCV, Glob
- Outcome: Detect multiple faces in images.
5. Housing Price Prediction
- Dataset: Home price features.
- Outcome: Predict property sale prices.
6. Census Income Analysis
- Dataset: UCI ML Repository
- Outcome: Predict annual incomes.
7. Joke Rating Prediction
- Dataset: Jester Joke Recommender System
- Outcome: Predict joke ratings.
8. HR Analytics Model
- Outcome: Evaluate and reimagine HR problem statements.
And More.......
Top Job Roles
1. Machine Learning Engineer:
Responsibilities: Design, implement, and deploy machine learning models for various applications.
Skills: Machine Learning, Python, TensorFlow, Scikit-Learn.
2. Data Scientist:
Responsibilities: Analyze and interpret complex datasets, providing valuable insights and predictions.
Skills: Data Analysis, Statistical Modeling, Machine Learning.
3. Computer Vision Engineer:
Responsibilities: Develop algorithms for image and video processing, object detection, and recognition.
Skills: Computer Vision, OpenCV, Deep Learning.
4. Natural Language Processing (NLP) Engineer:
Responsibilities: Work on projects involving language understanding, sentiment analysis, and chatbot development.
Skills: Natural Language Processing, NLTK, SpaCy, TensorFlow.
5. AI Software Developer:
Responsibilities: Develop software applications that incorporate AI components or features.
Skills: Software Development, Python, AI Integration.
6. Robotics Engineer:
Responsibilities: Design and develop robotic systems using AI algorithms for navigation, perception, and control.
Skills: Robotics, Reinforcement Learning, Python.
7. AI Researcher:
Responsibilities: Contribute to cutting-edge AI research, exploring new algorithms and techniques.
Skills: Strong mathematical background, Deep Learning, Research Skills.
8. AI Consultant:
Responsibilities: Advise businesses on implementing AI solutions, addressing challenges, and maximizing benefits.
Skills: Business Acumen, Communication, AI Implementation.
9. Ethical AI Specialist:
Responsibilities: Ensure AI systems are developed and used ethically, addressing bias and fairness concerns.
Skills: Ethical AI, Bias Detection, Mitigation Strategies.
10. IoT Specialist:
Responsibilities: Implement AI solutions for IoT applications, connecting devices and enabling intelligent automation.
Skills: IoT Integration, AI for Automation.
11. 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.
Flexible Fee Structure and Payment Options
- At CTE Academy, we aim to make quality AI education accessible and affordable for everyone.
- Explore our flexible fee categories, scholarships, and EMI options tailored to suit your financial needs.
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.
Fee Categories
- Training Only: ₹18,500
- Training and Placement:
- One Time Payment (OTP) - ₹29,500
- Total EMI (with HDFC Account Only or any Credit Card as enlisted) - ₹34,656 (EMI starts from ₹1200 per month)
- Book for Offline - Classroom (Hyderabad - Ameerpet and Vijayawada) / Work and Learn:
- Reserve Seat for ₹3000
- Fees structure same as Online via LMS
- Pay After Placement:
- Before Placement: ₹18,500 (EMI available starting from ₹ 955 per month)
- After Placement: ₹59,500
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 HDFC:
- Our flexible EMI options ensure you can focus on learning without financial worries.
- All you need is an HDFC Bank account or any Credit Card as enlisted.
- We now offer special coupons to reduce the overall course fee for candidates opting for EMI plans.
- 3 Months EMI: ₹10,097.00 per Month
- 6 Months EMI: ₹5,419.00 per Month
- 9 Months EMI: ₹3,500.00 per Month
- 12 Months EMI: ₹2,677.00 per Month
- 18 Months EMI: ₹1,854.00 per Month
- 24 Months EMI: ₹1,444.00 per Month
Use the provided coupon codes at checkout to avail of discounts on your EMI fees.
"Education made easy – success made inevitable!"