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See why over 25,000+ Students choose ACTE
Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Data Science & AI Training Projects
Become a Data Science & AI Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Cleaning and Preprocessing
This project involves cleaning messy datasets by handling missing values, removing duplicates, and normalizing data. It teaches students the basics of data manipulation using Pandas and NumPy.
Exploratory Data Analysis
Students analyze the famous Titanic dataset using Python or R to uncover hidden insights, visualize trends, and identify patterns related to survival rates based on factors like age, gender, and class.
Sentiment Analysis Tweets
Using Natural Language Processing (NLP), students build a simple sentiment analysis model to classify tweets as positive, negative, or neutral. This project introduces text preprocessing, tokenization, and sentiment scoring.
Customer Churn Prediction
Students build an NLP-based text classification model to detect fake news articles using machine learning algorithms like Naïve Bayes, TF-IDF.
Credit Card Fraud Detection
This project involves working with an imbalanced dataset to classify fraudulent transactions. Students use SMOTE and machine learning models.
Convolutional Neural Networks
Using Keras and TensorFlow, students train a CNN model to classify images from datasets like CIFAR-10 or Fashion MNIST, improving their knowledge .
End-to-End AI Chatbot Development
Students develop an AI-powered chatbot using Dialogflow, Rasa, or GPT-3 APIs. This project covers NLP, machine learning, and real-time user interactions.
Autonomous Vehicle Object Detection
This project involves building an object detection model using YOLO (You Only Look Once) or Faster R-CNN to detect pedestrians, vehicles, and road signs
Reinforcement Learning for Game AI
Students develop an AI model using Deep Q-Learning to play a game like Flappy Bird or Atari Breakout. This project enhances understanding .
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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05-May-2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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07-May-2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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10-May-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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11-May-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Data Science & AI Training Overview
Data Science & AI Program Course in Tambaram with Potential Career Paths
Data Science & AI Training Center in Tambaram offer some of the most lucrative and in-demand career opportunities across various industries, including finance, healthcare, e-commerce, marketing, and technology. Professionals with expertise in Data Science & AI can explore several career paths, such as Data Scientists, AI Engineers, Machine Learning Engineers, Big Data Analysts, and Business Intelligence Analysts. These roles involve working with massive datasets, developing predictive models, automating decision-making processes, and designing AI-driven solutions for real-world challenges.Moreover, career paths in Data Science & AI are not limited to tech companies alone. Organizations in finance, healthcare, retail, and logistics increasingly rely on AI-driven insights to optimize operations and improve customer experiences.
The Requirements for Data Science & AI Certification Course in Tambaram
- Educational Background: A degree in Computer Science, Mathematics, Statistics, Data Science, or a related field is preferred.Non-technical backgrounds can also transition with proper training and certification courses.
- Technical Skills: Machine Learning & AI Algorithms: Knowledge of supervised and unsupervised learning, deep learning, and reinforcement learning.Data Processing & Analysis: Familiarity with Pandas, NumPy, and Scikit-learn.
- Mathematical & Statistical Knowledge: Strong understanding of linear algebra, probability, statistics, and calculus for model development.
- Soft Skills : Problem-solving and analytical thinking for real-world applications.Communication skills to explain AI-driven insights to non-technical stakeholders..
Enrolling in Data Science AI Training in Tambaram
Data Science & AI Placement Training in Tambaram have revolutionized industries, making them one of the most sought-after skills in today's job market. Enrolling in a Data Science & AI course provides access to high-paying job opportunities, career flexibility, and cutting-edge technologies. Companies are investing heavily in AI-driven solutions, and professionals with AI expertise are highly valued.By mastering Data Science & AI, individuals can work in diverse industries, including healthcare (predictive diagnostics), finance (fraud detection), marketing (customer segmentation), and logistics (demand forecasting). The demand for AI professionals continues to rise, ensuring job security and long-term career growth. Additionally, AI automation is changing traditional roles, and those skilled in AI are more likely to stay relevant in the future job market.
Techniques and Trends in Data Science & AI Development Course in Tambaram
- Automated Machine Learning: Tools like Google AutoML and H2O.ai allow automated model selection, hyperparameter tuning, and deployment.
- Deep Learning & Neural Networks : Advancements in Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models have improved AI applications in image and speech recognition.
- Edge AI & IoT Integration : AI-powered devices process data locally, reducing latency and improving efficiency in smart devices and IoT applications.
- AI for Personalization: AI-driven recommendation engines enhance user experiences in e-commerce and streaming services.
The Most Recent Tools for Data Science AI Training in Tambaram
The field of Data Science & AI is constantly evolving, with new tools and frameworks enhancing efficiency and capabilities. Some of the most recent and widely used tools include TensorFlow and PyTorch for deep learning, Scikit-learn and XGBoost for machine learning, and Google AutoML and IBM Watson for automated AI solutions. These tools provide powerful capabilities for building, training, and deploying AI models.Cloud-based AI platforms like AWS SageMaker, Google AI Platform, and Microsoft Azure ML allow seamless deployment and scaling of AI applications. Additionally, Jupyter Notebooks and Google Colab provide interactive coding environments for data analysis and model experimentation. With the rise of low-code and no-code AI platforms, tools like DataRobot and RapidMiner enable professionals with limited coding knowledge to leverage AI solutions.
Career Opportunities After Data Science & AI Training
Data Scientist
A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract meaningful insights. They use statistical techniques, machine learning algorithms, and data visualization tools to develop.
AI Engineer
An AI Engineer specializes in building and deploying artificial intelligence models, including machine learning, deep learning, and natural language processing (NLP) applications. They design AI algorithms, work with neural networks, and integrate AI solutions.
Machine Learning Engineer
A Machine Learning Engineer develops self-learning systems by designing, training, and fine-tuning machine learning models. They work on automation, recommendation systems, fraud detection, and real-time data analytics.
Data Engineer
A Data Engineer focuses on designing, building, and maintaining data pipelines and infrastructure that support AI and machine learning applications. They ensure efficient data collection, storage, and processing for real-time and batch analytics.
Business Intelligence Analyst
A Business Intelligence (BI) Analyst transforms raw data into actionable insights using dashboards and reports. They leverage tools like Tableau, Power BI, and SQL to analyze trends, forecast business performance, and support data-driven decision-making.
Computer Vision Engineer
A Computer Vision Engineer specializes in developing AI solutions for image and video analysis, facial recognition, object detection, and medical imaging. They work with deep learning frameworks like OpenCV, TensorFlow, and PyTorch to build sophisticated.
Skill to Master
Data Analysis & Interpretation
Machine Learning
Programming Proficiency
Big Data Handling
Data Visualization
Statistical & Mathematical Foundations
Natural Language Processing
Deep Learning & Neural Networks
Data Wrangling & Preprocessing
Model Deployment & Optimization
Business Intelligence
Cybersecurity & Ethical AI
Tools to Master
Python
R
Jupyter Notebook
TensorFlow
PyTorch
Apache Spark
SQL
Tableau
Power BI
Google Cloud AI & AWS AI
OpenCV
Matplotlib & Seaborn
Learn from certified professionals who are currently working.
Training by
Siva, having 7 yrs of experience
Specialized in: Data Science & AI, Machine Learning, Predictive Analytics, and Big Data Engineering.
Note: Siva is a highly experienced Data Science & AI instructor with a strong background in deep learning, artificial intelligence, and big data analytics. He has successfully trained professionals in leading IT firms, enabling them to leverage AI for business insights and decision-making.
We are proud to have participated in more than 40,000 career transfers globally.
Data Science & AICertification
While some certifications require real-world experience, having practical exposure can be beneficial. Many beginner-level certifications, such as IBM Data Science Professional Certificate or Google Data Analytics Certification, are designed to help individuals with no prior experience.
Data Science & AI Training in Tambaram is one of the most in-demand fields today, with applications across industries such as healthcare, finance, retail, and technology. Pursuing a certification in Data Science & AI validates your skills and expertise in handling data, developing machine learning models, and making data-driven decisions.
Most beginner-level certifications in Data Science & AI have strict prerequisites, making them accessible to students and professionals from different backgrounds.
Earning a Data Science & AI certification is an excellent way to establish yourself in the field. By completing a recognized certification program, you demonstrate expertise in handling data, building predictive models, and making data-driven decisions.
Frequently Asked Questions
- Live Demo Sessions – ACTE provides live demo sessions to help you understand the course structure, instructor expertise, and learning methodology.
- Recorded Previews – If you can’t attend a live session, you can request a recorded preview of previous classes.
- ACTE instructors are industry professionals with extensive experience in Data Science, Artificial Intelligence, and Machine Learning. They have worked in leading organizations and possess deep expertise in Python, R, Deep Learning, Big Data, and cloud computing technologies.
- Yes, ACTE offers dedicated placement support to help students transition into the industry. After completing the course, students receive guidance on resume building, interview preparation, and networking with potential employers.
- Upon successful completion of the Data Science & AI course, you will receive a globally recognized certification from ACTE. This certification validates your expertise in data analytics, machine learning, and AI-driven solutions.
- Yes, students get hands-on experience by working on real-world projects. The course includes industry-specific projects covering areas like financial analytics, healthcare predictions, and e-commerce recommendations.