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Learn advanced Machine Learning algorithms, model building, and data processing with real-time projects.
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4.5/5Course Duration
32 Hrs.Live Project
2 ProjectCertification Pass
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Speciality
200+
Professionals Trained
3+
Batches every month
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Countries & Counting
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Corporate Served- Machine Learning (ML) is among the most trending and coveted technologies right now. Machine Learning allows computers to learn from experience without being programmed. Our Machine Learning Course in Hyderabad is ready to help you learn about the topic and gain live hands-on experience in ML models and tools. Machine Learning Coaching in Hyderabad is suitable even for students, along with working professionals, who wish to work in the field of Artificial Intelligence and Data Science.
- Machine Learning Course in Hyderabad teaches you to prepare and clean data, apply machine learning algorithms, construct intelligent systems, and deploy ML models. We also train you on real use cases, i.e., forecasting stock prices, customer churn, product recommendation, and fraud detection.
- Whether you are a beginner with foundational knowledge of Python or an IT professional looking to switch to ML, Machine Learning Training in Hyderabad is the best starting point. As Hyderabad has transformed into the future AI and Data Science capital, the time is just perfect to initiate your career.
Machine Learning Course in Hyderabad
- This is a hands-on Machine Learning Training in Hyderabad with real-world applications. It weaves theory about ML algorithms and coding mini-projects, practicals, and live datasets together.
- Through this course, you can:
Understand key Machine Learning concepts: supervised, unsupervised, reinforcement learning, etc.
Handle prominent Python libraries: NumPy, Pandas, Matplotlib, Seaborn
Preprocessing raw data: missing value handling, scaling, encoding, transformation
Implement fundamental ML algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, SVM, Naive Bayes
Master advanced techniques like ensemble models, boosting, bagging, and stacking
Evaluate model performance using Confusion Matrix, AUC-ROC, F1 Score, and Cross-validation
Implement Natural Language Processing (NLP) using NLTK and SpaCy
Implement TensorFlow and Keras to build Deep Learning models like Neural Networks, CNNs, and RNNs
Train, validate, and tune models using GridSearchCV and RandomizedSearchCV
Build end-to-end ML pipelines for automation
Host ML models on Flask, FastAPI, or Streamlit
Cloud jobs on AWS SageMaker or Google Cloud ML
- There is immense demand for Machine Learning professionals in Hyderabad. Upon certification and experience, you can expect a decent initial pay.
- Average Salary Range:
- Salaries also differ with your educational qualification, project quality, and interview preparation. We help improve all three.
ML Engineer (Freshers): 4.5 LPA to 7 LPA
Junior Data Scientist: 5.5 LPA to 8 LPA
AI Engineer (Intern/Fresher): 5 LPA to 9 LPA
<ML Developer (Startups): 4.2 LPA to 6.5 LPA
Strong Portfolio (Projects + GitHub): up to 12 LPA
- Machine Learning is not just a job, it's a high future prospect career path. Once you complete Machine Learning Training in Hyderabad, you're ready for junior ML roles, and subsequently, you'll shift to senior AI and data science roles.
- Career Path:
- You can also opt for higher studies, freelancing, or off-shore work with multinational companies.
ML Engineer, Data Scientist, AI Specialist, AI Researcher
Shift to NLP roles, Computer Vision, or AI Ops
Specialize in Deep Learning, Recommendation Systems, or Autonomous Systems
At 3 to 5 years of work experience, move to profiles like AI Consultant or ML Architect
- Hyderabad is renowned for its booming tech culture. Starting from multinational MNCs to startups, all are going for AI and ML to automate and gain insights.
- Major Reasons:
Hyderabad has 3000+ open ML/AI job postings per month
Google, Amazon, Microsoft, and Deloitte HITEC City & Gachibowli offices
Machine Learning is being applied to healthcare, banking, retail, manufacturing, and numerous other sectors
There are many AI start-ups with advanced tech stacks
Hyderabad is livable at low costs with high-end job opportunities
Our program is designed with the city's technology trends and job prospects in mind.
- Once you finish Machine Learning Classes in Hyderabad, you will be prepared to perform most Machine Learning, AI, and Data Science employment tasks.
- Most Wanted Job Roles:
Data Scientist
AI Engineer
Machine Learning Engineer
NLP Engineer
ML Data Analyst
ML Python Developer
Most Important Responsibilities:
Data extraction, cleaning, and exploration
Feature conversion and engineering
Model training and building using Scikit-learn, TensorFlow
Hyperparameter tuning and model assessment
ML pipeline building and model retraining automation
API coding and model deployment
Communicating insights with visualization
- Machine Learning is applied to almost all industries. Our graduates are getting hired by MNCs and startups that are developing cutting-edge projects.
- Hottest Sectors Recruiting ML Professionals:
IT Services and Software Solutions
E-commerce and Retail (Recommendation Systems, Customer Insights)
BFSI Banking, Finance, and Insurance (Risk modeling, Fraud detection)
Healthcare (Medical Image Processing, Diagnosis Predictions)
Manufacturing and IoT (Predictive Maintenance, Automation)
Telecommunications (Churn prediction, Network optimization)
Education and EdTech (Adaptive Learning Systems)
- We provide industry-level certification that validates your expertise and helps get hired in interviews.
- You will receive:
- These certificates are helpful while applying for the ML role, internship, and college process.
Machine Learning Course Completion Certificate
Live Project Completion Certificate
Internship Certificate (for successful ones)
GitHub Portfolio development and resume optimization
- We give you full placement support from Day 1. Whether you are a job-switcher or fresher, our process is designed to hire you earlier.
- Placement Support Includes:
- We have friendly ties with technology companies and startups and place our learners accordingly.
Resume design specific to ML roles
Check-up and optimization of the LinkedIn profile
Portfolio development (GitHub + project reports)
Coding and skill tests (Python & ML)
Weekly practice interviews and feedback
HR screening and interview strategies training
Straightforward referrals to the hiring startups and partners
Exclusive access to Hyderabad and Indian job listings
- Our learning process is hands-on, job-oriented, and technology-oriented. Machine Learning Coaching in Hyderabad is different because it's curated by working professionals and industry experts.
- Why Us:
Extremely experienced trainers from leading tech companies
Hands-on, code-intensive sessions with actual data
More than 12+ mini and 3 lengthy projects
Actual case studies from the real world: Fraud Detection, Movie Recommender, Stock Price Prediction
Access to recorded sessions, lifetime access to LMS
Flexible timings weekday/weekend/online/offline options
Dedicated placement team and HR guidance
Communication + technical interview skills focus
- Programming: Python, Jupyter, Google Colab
- Data Handling: NumPy, Pandas, Matplotlib, Seaborn
- Machine Learning: Scikit-learn, XGBoost, LightGBM
- Deep Learning:TensorFlow, Keras, OpenCV
- NLP: NLTK, SpaCy, Hugging Face Transformers
- Deployment: Flask, FastAPI, Streamlit
- Cloud: AWS Sagemaker, Google AI Platform
- You May Also Read:
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CURRICULUM & PROJECTS
Machine Learning Training Program
- Introduction to Machine Learning
- Techniques of Machine Learning
- Regression
- Classification
- Unsupervised Learning: Clustering
- Distribution Clustering
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- Articial Intelligence
- Machine Learning
- Machine Learning Algorithms
- Algorithmic models of Learning
- Applications of Machine Learning
- Large Scale Machine Learning
- Computational Learning theory
- Reinforcement Learning
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- Supervised Learning
- Unsupervised Learning
- Semi-supervised and Reinforcement Learning
- Bias and variance Trade-off
- Representation Learning
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- Regression and its Types
- Logistic Regression
- Linear Regression
- Polynomial Regression
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- Meaning and Types of Classification
- Nearest Neighbor Classifiers
- K-nearest Neighbors
- Probability and Bayes Theorem
- Support Vector Machines
- Naive Bayes
- Decision Tree Classifier
- Random Forest Classifier
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- About Clustering
- Clustering Algorithms
- K-means Clustering
- Machine Learning Training Curriculum
- Hierarchical Clustering
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- Ensemble approach
- K-fold cross validation
- Grid search cross validation
- Ada boost and XG Boost
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Course Duration
32 Hrs.
Weekday1 Hr/Day
Weekend2 Hr/Day
Training ModeClassroom/Online
Flexible Batches For You
28-Jun-2025*
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30-Jun-2025*
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25-Jun-2025*
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28-Jun-2025*
- Weekend
- SAT - SUN
- Mor | Aft | Eve - Slot
-
30-Jun-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
-
25-Jun-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
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