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Curriculam Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculam
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
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
House Price Prediction
Use linear regression to predict home prices based on features.
Iris Flower Classification
Classify flowers using the classic Iris dataset with decision trees or SVM.
Spam Email Detection
Build a model to identify spam emails using Naive Bayes or logistic regression.
Customer Churn Prediction
Predict which customers are likely to leave using classification models.
Sentiment Analysis
Analyze movie or product reviews using NLP techniques and LSTM.
Handwritten Digit Recognition
Use CNNs on the MNIST dataset for digit classification.
AI Chatbot
Create an NLP-based conversational chatbot using transformer models.
Face Recognition System
Develop a deep learning model to detect and recognize faces.
Autonomous Driving Simulation
Train a self-driving car model in simulation using reinforcement learning.
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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13 - Oct - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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15 - Oct - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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18 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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19 - Oct - 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.
AI and Machine Learning Training Overview
Goals Accomplished by AI and Machine Learning Certification in Chennai
Participants gain a strong foundation in supervised, unsupervised, and reinforcement learning techniques. The programs focus on hands-on experience with popular ML frameworks, data preprocessing, and model evaluation. Graduates learn to deploy AI models effectively and interpret their outputs. AI and ML Training Course in Chennai emphasizes problem-solving, critical thinking, and practical application of algorithms to real datasets, preparing students for industry challenges.
Future Career Opportunities Emerging from AI and Machine Learning Training in Chennai
- Data Scientist: Analyzing data to derive actionable insights and build predictive models. Works closely with business teams to solve problems using statistical analysis and machine learning.
- AI Engineer: Developing intelligent systems using machine learning and deep learning techniques. Designs scalable AI models for real-time applications across industries.
- Business Intelligence Analyst: Using AI tools to support strategic decision-making. Transforms complex data into visual reports and dashboards for business leaders.
- Robotics Engineer: Integrating AI with robotics for automation and intelligent behavior. Develops systems that can perceive, learn, and act autonomously in physical environments.
- Research Scientist: Advancing AI theory and creating novel algorithms. Publishes findings and contributes to the development of next-generation AI technologies.
New Frameworks Introduced in AI and ML Placement in Chennai
AI and ML Course in Chennai incorporate frameworks like TensorFlow 2.x, PyTorch, Scikit-learn, and Apache Spark MLlib. These frameworks simplify model building, enable distributed computing, and offer robust libraries for data analysis and visualization. Students also explore AutoML tools to automate model selection and hyperparameter tuning.
Trends and Essential Skills Related to ML and AI Training Placement
- Deep Learning Proficiency: Mastering neural networks for complex data patterns. Includes working with CNNs, RNNs, and transformers for tasks like image and language processing.
- Data Engineering: Managing and processing large-scale datasets efficiently. Involves tools like Apache Spark, Hadoop, and SQL for optimized data pipelines.
- Model Interpretability: Understanding AI decisions to build trust and transparency. Uses techniques like SHAP, LIME, and attention visualization to explain model outputs.
- Cloud AI Services: Utilizing AWS, Google Cloud, or Azure for scalable AI deployments. Enables deploying, monitoring, and managing models in real-time production environments.
- Continuous Learning: Keeping pace with evolving AI research and technologies. Involves reading latest papers, attending webinars, and experimenting with new models.
Applications and Uses of AI and ML Training Course in Chennai
AI and ML Placement in Chennai are transforming industries by enabling predictive analytics, natural language processing, computer vision, and recommendation systems. Training courses prepare students to build AI-driven applications for healthcare diagnostics, fraud detection, autonomous vehicles, customer service bots, and more. AI and Machine Learning Certification in Chennai versatility ensures wide applicability and demand for trained professionals.
Career Opportunities After AI and Machine Learning
Machine Learning Engineer
Designs, builds, and deploys machine learning models that enable systems to learn and improve from data without being explicitly programmed.
Data Scientist
Analyzes complex data sets to extract meaningful insights, build predictive models, and support data-driven decision-making processes.
AI Research Scientist
Conducts research to develop new algorithms and methodologies in artificial intelligence, pushing the boundaries of what AI can achieve.
Deep Learning Engineer
Specializes in neural networks and deep learning models to solve complex problems in image recognition, NLP, and more.
Business Intelligence Developer
Develops strategies and tools for data visualization, reporting, and analytics to help businesses interpret data effectively.
AI Solutions Architect
Designs scalable AI systems and integrates machine learning models into business applications, ensuring performance and reliability.
Skill to Master
Fundamentals of machine learning algorithms
Supervised and unsupervised learning techniques
Neural networks and deep learning
Natural language processing (NLP)
Dashboard creation and data visualization
Data preprocessing and feature engineering
Model evaluation and optimization
Python programming for AI and ML
Using libraries like Scikit-learn, TensorFlow, and PyTorch
Handling big data with Hadoop and Spark
Deployment of ML models using cloud platforms
Spreadsheet formatting best practices
Tools to Master
Python
TensorFlow
Power Pivot
PyTorch
Scikit-learn
Jupyter Notebook
Keras
Google Colab
Pandas
NumPy
Matplotlib/Seaborn
AWS SageMaker
Learn from certified professionals who are currently working.
Training by
Ram, having 12+ yrs of experience
Specialized in: AI and Machine Learning functions, 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.
We are proud to have participated in more than 40,000 career transfers globally.
AI and Machine Learning Certification
Yes, AI and ML Course Certification can guarantee employment. It validates your skills and signals to recruiters that you’ve undergone structured training and practical exposure.
Most exams require basic proficiency in programming languages like Python, a fundamental understanding of statistics, and core concepts in machine learning. Familiarity with libraries such as scikit-learn, TensorFlow, or PyTorch is beneficial. Candidates are advised to complete course modules and projects before attempting certification exams.
Yes, many institutes offer online certification exams with remote proctoring. This allows candidates to take exams from anywhere, making it convenient for working professionals and remote learners. Online exams are secure and timed to maintain integrity.
Yes, investing in AI and ML Certification with Placement is highly rewarding given the growing demand for AI skills across industries. The course equips you with knowledge that can lead to diverse roles such as data scientist, ML engineer, or AI researcher.
Frequently Asked Questions
- You can register for a free demo session through our website or by contacting our support team.
- The demo will give you an overview of the course content and teaching style
- Trainers hold advanced degrees and certifications in AI, Machine Learning, or Data Science from reputed institutions and platforms.
- They bring over 5 years of industry experience, working with tools like Python, TensorFlow, PyTorch, and real-world AI applications.
- Yes, we provide dedicated placement assistance including resume building, interview preparation, and job referrals to help you secure roles in AI and machine learning.
- Yes, AI and ML Course you receive is industry-recognized and valued by employers globally, demonstrating your proficiency in AI and Machine Learning concepts.
- Absolutely, AI and ML Certification with Placement includes multiple hands-on labs and real-world projects to help you gain practical experience alongside theoretical knowledge.