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Our Hiring Partners
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
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Gen AI and Machine Learning TrainingProjects
Build Practical Gen AI and Machine Learning Skills Through Real-World and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Customer Churn Analysis
Develop a machine learning solution to identify customers likely to discontinue a service. Gain practical experience in data preprocessing, feature engineering, model building, and assessment.
Real Estate Price Prediction
Build a regression-based model to estimate property prices using factors such as location, property size, number of rooms, and other important features. Practice data preparation.
Generative AI Text
Create a practical Generative AI solution that transforms lengthy content into clear and concise summaries. Work with language models, prompt engineering, and AI-powered workflows.
Generative AI Content
Create a practical Generative AI application for content generation. Explore large language models and prompt engineering methods to produce, and customize AI-generated text.
Machine Learning Prediction
Build a machine learning prediction model using real-world datasets. Perform data preprocessing and feature engineering, then train, assess, and optimize the model for accurate.
AI-Powered NLP Project
Develop an application using natural language processing techniques and text-based datasets. tokenization, and language model concepts to create a functional AI-powered solution.
ML Prediction Project
Develop a practical RAG-based AI application that retrieves relevant information from documents and generates context-aware responses. Learn document processing.
AI-Powered Document
Build an intelligent document assistant that lets users find relevant information, and ask questions in natural language. Apply practical Generative AI techniques to improve document interaction.
Machine Learning & Gen AI
Create a complete AI solution covering data preparation, machine learning model development, Generative AI integration, and API development while gaining hands-on project experience.
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
What's included
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.
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.
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.
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.
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.
- 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.
Gen AI & Machine Learning Overview
Practical Skills Developed in Gen AI and Machine Learning Course in Anna Nagar
Gen AI and Machine Learning Placement Course provides practical knowledge of Python, data preprocessing, machine learning algorithms, deep learning, natural language processing, Generative AI, prompt engineering, and AI application development. Learners understand how AI and ML solutions are planned, developed, evaluated, optimized, and applied to different business requirements. Through practical exercises and projects, participants work on predictive analytics, machine learning models, NLP applications, AI chatbots, recommendation systems, customer segmentation, and Generative AI applications while developing strong technical, analytical, and problem-solving skills.
Career Opportunities After Gen AI and Machine Learning Training
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Machine Learning Engineer: Develops, trains, evaluates, and optimizes machine learning models to address business and technical requirements. They work with datasets, algorithms, preprocessing techniques, and model evaluation methods to create reliable machine learning solutions.
AI Engineer: Develops artificial intelligence solutions using machine learning, deep learning, natural language processing, and Generative AI technologies. AI Engineers integrate models and AI capabilities into applications designed for automation, and intelligent business solutions.
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Data Scientist: Analyzes datasets to identify patterns, generate insights, and develop predictive models. Data Scientists use Python, statistical techniques, machine learning algorithms, and data analysis methods to support data-driven decisions and practical business applications.
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Generative AI Developer: Creates AI applications using large language models, prompts, embeddings, AI APIs, and Generative AI technologies. They develop solutions for content generation, summarization, question answering, intelligent assistants, and other AI-powered business applications.
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NLP Engineer: Develops applications that process and understand human language using natural language processing, and AI techniques. Gen AI and Machine Learning Professionals works on chatbots, sentiment analysis, search applications, and intelligent communication solutions.
Latest Tools Included in Gen AI and Machine Learning Certification Course
Gen AI and Machine Learning Offline Course introduces learners to widely used tools and technologies including Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Generative AI platforms, AI APIs, and Jupyter Notebook. Participants use these technologies for data preparation, analysis, machine learning model development, deep learning, experimentation, prompt engineering, and AI application development. The curriculum provides practical exposure to dataset manipulation, model training, evaluation, AI integration, and application development. Through hands-on projects, learners apply these tools to different machine learning and Generative AI scenarios while developing practical industry-oriented skills.
Essential Trends in Gen AI and Machine Learning Internship Training in Anna Nagar
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Python & AI Development: Builds the programming foundation required for machine learning, artificial intelligence, data analysis, and Generative AI development. Learners use Python to prepare datasets, perform analysis, develop models, automate tasks, and create practical AI applications.
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Generative AI & LLM Technologies: Introduces large language models, prompt engineering, embeddings, AI APIs, and Generative AI workflows. Learners explore how these technologies can be integrated into applications for content generation, intelligent assistants, and automation.
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Data Preparation & Feature Engineering: Teaches learners how to clean, transform, analyze, and prepare datasets for machine learning applications. Participants work with data manipulation, preprocessing, and transformation techniques to improve the quality of model inputs.
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Model Evaluation & Optimization: Covers methods for evaluating machine learning models, selecting suitable metrics, tuning parameters, and improving model performance. Learners compare different models and refine their solutions based on project requirements and evaluation results.
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AI Application Development: Introduces learners to integrating AI models, Generative AI platforms, and APIs into software applications. Participants gain practical experience in developing solutions for automation, content generation, recommendations, analysis, and intelligent user experiences.
Practical Applications of Gen AI and Machine Learning Course Institute
Gen AI and Machine Learning Certification provides practical exposure to applications across areas such as predictive analytics, customer analysis, recommendation systems, natural language processing, sentiment analysis, chatbots, document processing, and Generative AI. Learners explore how machine learning models and AI technologies can be integrated into applications to support automation, analysis, content generation, and intelligent decision-making. Project-based activities help participants understand complete AI workflows, including data preparation, model development, evaluation, prompt design, AI integration, testing, and application development for realistic business scenarios.
Career Opportunities After AI and Machine Learning Training
Generative AI Engineer
A Generative AI Engineer develops AI applications using large language models and generative AI technologies. They work with prompt engineering, model.
Machine Learning Engineer
A Machine Learning Engineer builds, trains, and optimizes machine learning models. They use Python, ML frameworks, and real-world datasets to develop scalable solutions.
AI Engineer
An AI Engineer develops intelligent applications by combining machine learning, deep learning, and generative AI technologies. They integrate AI models into applications.
Data Scientist
A Data Scientist analyzes structured and unstructured data to identify patterns and generate useful insights. They apply machine learning, and data analysis techniques.
Generative AI Developer
A Generative AI Developer builds applications powered by large language models. They work with AI APIs, prompt engineering, retrieval, and frameworks to create text.
NLP Engineer
An NLP Engineer develops applications that process and understand human language. They work with language models, embeddings, and NLP techniques to build chatbots.
Skill to Master
Generative AI Developer
Machine Learning Engineer
AI Engineer
Generative AI Engineer
ML Engineer
AI/ML Developer
Prompt Engineer
Deep Learning Engineer
NLP Engineer
AI Model Developer
Machine Learning Data Scientist
MLOps Engineer
Tools to Master
Python
NumPy & Pandas
Scikit-learn
TensorFlow
PyTorch
Hugging Face
LangChain
OpenAI API
Jupyter Notebook
Matplotlib & Seaborn
Flask / FastAPI
Git & GitHub
Learn from certified professionals who are currently working.
Training by
Arthi, having 7+ yrs of experience
Specialized in: Generative AI, Machine Learning, Python, Deep Learning, Large Language Models.
Note: Arthi specializes in developing and implementing Gen AI and Machine Learning solutions for practical applications. With strong expertise in AI models, Python, deep learning, and modern generative AI technologies, she helps learners understand real-world concepts and develop practical AI solutions with confidence.
Premium Training at Best Price
Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.
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.
We are proud to have participated in more than 40,000 career transfers globally.
Gen AI and Machine Learning Certification
Yes, the course is designed to help beginners build their skills from the ground up. It starts with Python fundamentals, data handling, and basic machine learning concepts.
Yes, learners receive a Gen AI and Machine Learning certification after successfully completing the course, it demonstrates practical knowledge of machine learning.
Yes, Gen AI and Machine Learning skills are increasingly used across various industries. Organizations apply these technologies for automation, and predictive analytics.
Yes, Gen AI and Machine Learning can be learned gradually with a structured training approach. Practical examples, and hands-on projects help simplify complex concepts.
Frequently Asked Questions
- Check whether a demo session is available before joining the Training program.
- Visit the training provider's website or contact the team directly for demo session details.
- AI and Machine Learning trainers generally possess practical knowledge and experience in areas such as machine learning, and deep learning.
- Industry experience enables trainers to explain real-world AI workflows, development methods, and the practical use of AI technologies.
- Many training institutes offer career support that may include resume preparation, project assistance, technical interview training, mock interviews, and job guidance. Such support can help learners prepare for suitable opportunities and improve their overall career readiness.
- A course completion certificate confirms that the learner has completed the relevant training. Employers may also consider practical abilities, portfolio projects, programming skills, AI knowledge, and interview performance when evaluating candidates for Generative AI and Machine Learning positions.
- Yes, practical exercises and real-world projects may be included to help learners gain hands-on experience with AI development tools.
- These activities allow participants to apply their knowledge through project-based exercises and gain a better understanding
