AI and Machine Learning Training in Thiruvanmiyur

  • Instruction by experienced industry professionals
  • Interactive live classes with dedicated Q&A sessions
  • Hands-on projects for practical experience and skill development
  • Flexible schedules designed for both students and working professionals
  • AI and machine learning Certification in Thiruvanmiyur covering beginner to advanced levels
Hands On   40+ Hrs
Projects   4 +
Placement Support   Lifetime Access
3K+

Start Your Learning Journey Today

⭐ Fees Starts From ₹ 14,499 ₹ 26,000
(Lowest price in chennai)

Our Hiring Partners

Curriculam of AI and Machine Learning Training in Thiruvanmiyur

Curriculam 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

  •  
    30+  Case Studies & Projects
  •  
    9+  Engaging Projects
  •  
    10+   Years Of Experience
  • Overview of Artificial Intelligence
  • History and Evolution of AI
  • Types of AI: Narrow, General, and Super AI
  • Introduction to Machine Learning
  • Supervised vs. Unsupervised Learning
  • Applications of AI and ML
  • Ethical Considerations in AI
  • Importance of Data in AI/ML
  • Data Collection Techniques
  • Data Cleaning and Handling Missing Values
  • Data Transformation and Normalization
  • Exploratory Data Analysis (EDA)
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Clustering Techniques: K-Means, Hierarchical
  • Principal Component Analysis (PCA)
  • Anomaly Detection
  • Association Rule Learning
  • Introduction to Neural Networks
  • Perceptron and Multilayer Perceptron
  • Activation Functions
  • Backpropagation Algorithm
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Deep Learning Frameworks
  • Introduction to NLP
  • Text Preprocessing Techniques
  • Tokenization and Lemmatization
  • Sentiment Analysis
  • Language Modeling and Transformers
  • Speech Recognition
  • Chatbots and Conversational AI
  • Model Deployment Basics
  • Building APIs for ML Models
  • Cloud Services for Deployment (AWS, Azure, GCP)
  • Monitoring Model Performance
  • Retraining and Updating Models
  • Scalability Considerations
  • Overview of Popular Tools
  • Python Libraries: Scikit-learn, Pandas, NumPy
  • Deep Learning Frameworks
  • Data Visualization Libraries
  • Integrated Development Environments (IDEs)
  • Version Control with Git
  • Ethical Challenges in AI
  • Bias and Fairness in AI Models
  • Privacy Concerns and Data Protection
  • Explainable AI (XAI)
  • AI in Healthcare, Finance, and Other Industries
  • Emerging Trends: AutoML, Federated Learning
  • Show More

    AI and Machine Learning Training Projects

    Become a AI and Machine Learning Expert With Practical and Engaging Projects.

    •  
      Practice essential Tools
    •  
      Designed by Industry experts
    •  
      Get Real-world Experience

    Basic Data Exploration and Visualization

    Collect a dataset (e.g., Iris or Titanic) and perform EDA using Python libraries like Pandas and Matplotlib.

    Simple Linear Regression Model

    Build and evaluate a linear regression model to predict house prices or similar datasets.

    Data Preprocessing Project

    Clean and prepare a raw dataset by handling missing values and normalizing data.

    Decision Tree and Random Forest Classification

    Build and tune decision tree and random forest models on datasets like customer churn or credit scoring.

    Clustering with K-Means

    Perform customer segmentation using K-means clustering on marketing data.

    Neural Network Basics

    Implement a simple feedforward neural network for digit recognition (MNIST dataset).

    Deep Learning with Convolutional Neural Networks

    Build a CNN for image classification tasks (e.g., CIFAR-10 or ImageNet).

    Deploying ML Models

    Create and deploy an ML model using Flask/Django and containerize with Docker.

    Explainable AI (XAI) Implementation

    Use SHAP or LIME to explain predictions of complex models for transparency.

  • Career Support

    Placement Assistance

    Exclusive access to ACTE Job portal

    Mock Interview Preparation

    1 on 1 Career Mentoring Sessions

    Career Oriented Sessions

    Resume & LinkedIn Profile Building

  • Key Features

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

  • Upcoming Batches

    Weekdays
    13 - Apr - 2026
    08:00 AM (IST)
    Weekdays
    15 - Apr - 2026
    10:00 AM (IST)
    Weekends
    18 - Apr - 2026
    10:00 AM (IST)
    Weekends
    19 - Apr - 2026
    10:00 AM (IST)
    Can't find a batch you were looking for?
    INR ₹14499
    INR ₹26000
    OFF Expires in 23:51:55
  • What's included

    Convenient learning format

    📊 Free Aptitude and Technical Skills Training

    • Learn basic maths and logical thinking to solve problems easily.
    • Understand simple coding and technical concepts step by step.
    • Get ready for exams and interviews with regular practice.
    Dedicated career services

    🛠️ Hands-On Projects

    • Work on real-time projects to apply what you learn.
    • Build mini apps and tools daily to enhance your coding skills.
    • Gain practical experience just like in real jobs.
    Learn from the best

    🧠 AI Powered Self Interview Practice Portal

    • Practice interview questions with instant AI feedback.
    • Improve your answers by speaking and reviewing them.
    • Build confidence with real-time mock interview sessions.
    Learn from the best

    🎯 Interview Preparation For Freshers

    • Practice company-based interview questions.
    • Take online assessment tests to crack interviews
    • Practice confidently with real-world interview and project-based questions.
    Learn from the best

    🧪 LMS Online Learning Platform

    • Explore expert trainer videos and documents to boost your learning.
    • Study anytime with on-demand videos and detailed documents.
    • Quickly find topics with organized learning materials.
  • Top Placement Company is Now Hiring You!
    • 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.
  • AI and Machine Learning Training Overview

    Emerging Future Trends in AI and Machine Learning Training in Thiruvanmiyur

    • Integration with Cloud and Edge Computing: Courses now include training on deploying AI models on cloud platforms. Edge computing and IoT integration are growing in smart city applications. Thiruvanmiyur tech ecosystem is aligning with these smart technologies.
    • Focus on Responsible and Explainable AI: Ethical AI and explainability are being integrated into training modules. Understanding bias, fairness, and transparency is now essential. This is critical for roles in finance, healthcare, and government projects.
    • Rise of No-Code and AutoML Tools: Training programs now introduce platforms like Google AutoML and H2O.ai. These allow non-programmers to build models quickly. It opens doors for business analysts and domain experts to join the AI revolution.
    • Adoption of Generative AI and Large Language Models: Courses now incorporate training on GPT-based applications and transformer architectures. Learners explore prompt engineering and fine-tuning techniques for domain-specific solutions. This prepares professionals to build advanced chatbots, content generators, and AI assistants.
    • Growing Demand for MLOps and Model Deployment Skills: Training includes CI/CD pipelines, model monitoring, and lifecycle management. Students learn to deploy scalable machine learning solutions in production environments. These skills are highly valued by enterprises seeking reliable and maintainable AI systems.

    Latest Advancements in AI and ML Course in Thiruvanmiyur

    Recent AI and machine learning Certification in Thiruvanmiyur have evolved to include deep learning architectures like transformers and generative models (e.g., GPT). Students are trained in advanced tools such as TensorFlow, PyTorch, and LangChain. Cloud-based deployment, model interpretability, and MLOps are now core modules. Institutes are also including real-time analytics, reinforcement learning, and LLM fine-tuning. These updates reflect the region’s increasing demand for cutting-edge AI talent.

    Main Concepts Behind AI and ML Placement in Thiruvanmiyur

    AI and ML Course in Thiruvanmiyur programs focus on bridging skill gaps by offering hands-on project work, real-world case studies, and mock technical interviews. They emphasize core concepts like supervised learning, neural networks, model tuning, and deployment. Soft skills, resume optimization, and Git portfolio development are also covered. Regular assessments and hackathons simulate job challenges. These programs are structured to make candidates confident, competent, and competitive in the job market.

    Benefits Gained from AI and Machine Learning Training in Thiruvanmiyur

    • Industry-Relevant Curriculum: Training programs are designed in alignment with current industry needs. Learners gain hands-on experience with real-world tools and datasets. This ensures you're job-ready from day one after completing the course.
    • Expert Guidance and Mentorship: Courses are taught by seasoned professionals with years of AI/ML experience. They offer personalized mentorship and industry insights during training. This bridges the gap between academic learning and practical application.
    • Career Support and Placement Assistance: Many institutes offer resume building, mock interviews, and job referrals. Placement support opens doors to MNCs, startups, and research roles. You also gain access to alumni networks and hiring partners.
    • Practical Projects and Case Studies: Hands-on projects simulate real business problems and scenarios. You learn to apply ML algorithms, NLP, and deep learning models. This practical exposure enhances problem-solving and model deployment skills.
    • Exposure to Latest AI Tools and Technologies: Training includes modern frameworks such as TensorFlow, PyTorch, and Hugging Face. Learners work with cloud platforms like AWS and Azure for scalable AI deployment. This ensures familiarity with the tools currently used in top tech companies.
    • Strong Foundation in Core Concepts: Programs emphasize mathematics, statistics, and algorithm fundamentals. A solid understanding of supervised, unsupervised, and deep learning techniques is developed. This foundation enables learners to adapt quickly to emerging AI advancements.

    Real-Time Projects Completed Recently in AI and ML Placement in Thiruvanmiyur

    Several real-time projects have been completed recently in Thiruvanmiyur AI/ML placement tracks. These include predictive models for healthcare diagnostics, real estate price estimation, and fraud detection for fintech apps. Some projects focused on NLP tasks like chatbots, sentiment analysis, and resume screening automation. Deep learning projects in image classification for medical imaging and object detection were also executed. AI and machine learning Certification in Thiruvanmiyur capstone projects are often aligned with actual business problems from hiring partners.

    Add-Ons Info

    Career Opportunities  After AI and Machine Learning

    Machine Learning Engineer

    Designs and deploys ML models using algorithms and real-world datasets. Applies statistical methods to build predictive models and automate tasks. Strong coding and model tuning skills are essential for this role.

    Data Scientist

    Analyzes large datasets to uncover insights and drive business decisions. Uses ML, deep learning, and data visualization tools. Works across industries like healthcare, retail, and logistics.

    AI Engineer

    Develops intelligent systems capable of decision-making and automation. Integrates deep learning, NLP, and reinforcement learning techniques. Contributes to the development of chatbots, recommendation engines.

    NLP Specialist

    Focuses on building systems that understand and process human language. Works on sentiment analysis, chatbots, and speech recognition. Often uses Python libraries like NLTK, spaCy, and transformers.

    Computer Vision Engineer

    Builds image and video recognition models using deep learning frameworks. Used in facial recognition, autonomous vehicles, and surveillance tech. Requires experience with CNNs, OpenCV, and TensorFlow or PyTorch.

    AI Product Manager

    Bridges the gap between data science teams and business stakeholders. Translates business needs into AI features and solutions. Manages product roadmaps and assesses model performance.


    Skill to Master
    Supervised and Unsupervised Learning
    Data Preprocessing and Feature Engineering
    Model Evaluation and Hyperparameter Tuning
    Deep Learning with Neural Networks
    Natural Language Processing (NLP)
    Computer Vision and Image Processing
    Data Visualization and Storytelling
    Working with Real-Time Streaming
    Deployment using Flask, FastAPI, or Docker
    Exploratory Data Analysis (EDA)
    Understanding of MLOps & CI/CD for ML
    Problem Solving with Algorithms and Statistics
    Show More

    Tools to Master
    Python
    TensorFlow
    PyTorch
    Scikit-learn
    Pandas
    NumPy
    Matplotlib
    Jupyter Notebook
    OpenCV
    NLTK / spaCy
    Docker
    Google Colab
    Show More
    Our Instructor

    Learn from certified professionals who are currently working.

    instructor
    Training by

    Ram, having 12+ yrs of experience

    Specialized in: AI and Machine Learning, array formulas.

    Note: Ram excels in constructing and optimizing complex formulas for advanced data manipulation. With his expertise, he can create intricate Excel formulas that streamline data analysis, enhance accuracy, and improve efficiency.

    Premium Training at Best Price

    Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

    Call Course Advisor
  • What Makes ACTE Training Different?

    Feature

    ACTE Technologies

    Other Institutes

    Affordable Fees

    Competitive Pricing With Flexible Payment Options.

    Higher Fees With Limited Payment Options.

    Industry Experts

    Well Experienced Trainer From a Relevant Field With Practical Training

    Theoretical Class With Limited Practical

    Updated Syllabus

    Updated and Industry-relevant Course Curriculum With Hands-on Learning.

    Outdated Curriculum With Limited Practical Training.

    Hands-on projects

    Real-world Projects With Live Case Studies and Collaboration With Companies.

    Basic Projects With Limited Real-world Application.

    Certification

    Industry-recognized Certifications With Global Validity.

    Basic Certifications With Limited Recognition.

    Placement Support

    Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

    Basic Placement Support

    Industry Partnerships

    Strong Ties With Top Tech Companies for Internships and Placements

    No Partnerships, Limited Opportunities

    Batch Size

    Small Batch Sizes for Personalized Attention.

    Large Batch Sizes With Limited Individual Focus.

    LMS Features

    Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

    No LMS Features or Perks.

    Training Support

    Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

    Limited Mentor Support and No After-hours Assistance.

  • Job Assistant Program

    We are proud to have participated in more than 40,000 career transfers globally.

    AI and Machine Learning Certification

    Certificate
    GET A SAMPLE CERTIFICATE
  • Validates your skills in cutting-edge AI and ML technologies.
  • Enhances employability in a rapidly growing job market.
  • Builds a strong foundation in algorithms, data handling, and model building.
  • Real-world experience is beneficial but not always mandatory for AI and Machine Learning certification. Many certification programs are designed to accommodate beginners by focusing on foundational knowledge and practical exercises.

    Yes, AI and ML Course Certification guarantee employment. It significantly improves your chances by validating your skills and knowledge, but employers also look for practical experience, problem-solving abilities, and cultural fit.

  • Knowledge of data structures and algorithms.
  • Basic understanding of programming languages like Python or R.
  • Familiarity with mathematical concepts such as linear algebra, calculus, and statistics.
  • Enroll in a recognized AI and Machine Learning training program.
  • Study foundational concepts through lectures and reading materials.
  • Practice coding algorithms and building ML models.
  • Complete hands-on projects to apply theoretical knowledge.
  • Yes, many AI and ML training Course exams are available online through secure, proctored platforms. Candidates can take these exams remotely, which offers flexibility and accessibility.

    Practical experience is highly recommended to grasp AI and Machine Learning concepts fully, though it may not be a strict requirement for certification. Hands-on experience through projects, internships, or labs helps translate theoretical knowledge into real-world problem-solving skills.

  • Ability to work on innovative technologies shaping the future.
  • Competitive salaries and career advancement prospects.
  • Enhances problem-solving and analytical thinking skills.
  • Show More

    Frequently Asked Questions

    • Yes, AI and ML training institute offer both in-person classroom sessions and live online classes to suit different learning preferences.
    • The typical duration of an AI and Machine Learning course ranges from 3 to 6 months, depending on the depth of the curriculum and mode of study
    • Some accelerated or specialized courses may be completed in 8 to 12 weeks, while more comprehensive programs can extend up to 1 year for advanced learning
    • The placement assistance process typically includes resume building, where experts help tailor your CV to highlight relevant skills and projects.
    • You’ll receive mock interview sessions to practice technical and HR questions, boosting your confidence
    • Absolutely, AI and ML training institute includes hands-on projects based on real-world data sets and industry scenarios to enhance practical skills.
    • Yes, dedicated sessions for interview preparation and soft skills training are part of the course to boost your confidence.
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    • Flexibility: Online, weekends & more.
    • Hands-on: Projects & practical exercises.
    • Placement support: Resume & interview help.
    • Lifelong learning: Valuable & adaptable skills.
    • Full curriculum: Foundational & advanced concepts.
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