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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
GenAI and Machine Learning TrainingProjects
Build Practical GenAI and Machine Learning Skills Through Real-World and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Sales Forecasting Model
Develop a machine learning model to predict future sales using historical business data, seasonal patterns, and relevant features. Gain practical experience in data preparation.
AI Chatbot Development
Build a Generative AI chatbot that understands user queries and generates relevant responses. Practice prompt engineering, language model integration, conversation design, and AI workflows.
Image Classification Model
Create a deep learning solution to classify images into predefined categories using neural networks. Work with image datasets, feature extraction, and performance evaluation.
AI Text Summarization
Develop a practical AI application for automated text summarization. Explore language models and prompt engineering techniques to process, and refine AI-generated content.
Customer Churn Prediction
Build a machine learning model to predict customer churn using real-world datasets. Apply data preprocessing and feature selection, evaluate, and improve the model for reliable results.
Sentiment Analysis Project
Develop an application using natural language processing techniques and text-based datasets. Apply preprocessing, classification, and language model concepts.
AI Recommendation System
Develop a practical AI recommendation system that analyzes user preferences and suggests relevant content or products. Learn data preparation, and recommendation techniques.
AI Knowledge Assistant
Build an intelligent AI assistant that processes information, relevant content, and answers user questions naturally. Apply practical Generative AI techniques to improve knowledge discovery.
Integrated AI Application
Create a complete AI solution combining data processing, machine learning models, Generative AI features, and API integration while developing practical skills through project implementation.
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.
GenAI and Machine Learning Course Overview
Develop Technical Expertise with GenAI and Machine Learning Course in Thiruvanmiyur
Creating intelligent applications has become essential across software development, business automation, data analysis, healthcare, finance, e-commerce, and digital services. The GenAI and Machine Learning Offline Course offers practical learning in Python programming, machine learning concepts, data preprocessing, model development, deep learning, Generative AI, natural language processing, and AI application development. Learners discover how intelligent systems are designed, developed, trained, tested, optimized, and adapted to meet various business requirements. The curriculum covers essential concepts such as supervised learning, unsupervised learning, feature engineering, model evaluation, neural networks, and AI workflows to help participants create effective intelligent applications. Through practical exercises, classification solutions, recommendation systems, and Generative AI applications using relevant industry technologies. The GenAI and Machine Learning Training in Thiruvanmiyur provides practical assignments and real-world projects to help learners understand professional AI workflows, data requirements, model development, and solution planning. Project-based learning further supports portfolio development, AI concepts, trained models, and intelligent applications.
Discover the Future Scope of GenAI and Machine Learning Certification
The need for qualified AI and machine learning professionals continues to increase as businesses implement intelligent automation, predictive analytics, Generative AI, and data-driven solutions across multiple industries. Growing fields such as large language models, AI agents, computer vision, natural language processing, deep learning, and automated decision-making are opening new opportunities for technology professionals. Learners with practical knowledge of Python, machine learning, model development, Generative AI, prompt engineering, and AI frameworks can respond to changing technology demands. The GenAI and Machine Learning Internship Course helps participants establish a solid foundation for pursuing opportunities in software development, data science, automation, analytics, e-commerce, finance, and technology industries. With ongoing learning and hands-on project experience, professionals can advance into positions such as Machine Learning Engineer, AI Engineer, NLP Engineer, and AI Developer. The GenAI and Machine Learning Internship Program in Thiruvanmiyur helps learners gain practical expertise in data preparation, machine learning algorithms, model training, deep learning, and AI application development. Participants can further improve their portfolios by developing predictive models, AI assistants, chatbots, recommendation systems, and intelligent application prototypes.
Discover Essential Tools Covered in GenAI and Machine Learning Training in Thiruvanmiyur
Python: Python is commonly used for machine learning, data analysis, automation, model development, and Generative AI applications. Learners practice creating predictive models, preparing datasets, applying algorithms, and developing intelligent solutions through practical coding.
Scikit-learn: Scikit-learn offers useful libraries for classification, regression, clustering, preprocessing, model evaluation, and machine learning workflows. Students learn to prepare datasets and implement structured solutions for various predictive modeling tasks.
PyTorch: PyTorch enables deep learning, neural networks, model training, computer vision, natural language processing, and advanced AI development. Learners explore practical methods for building and assessing intelligent models for different applications.
Hugging Face: Hugging Face offers models and libraries for natural language processing, Generative AI, transformers, text generation, and intelligent applications. Learners explore current AI workflows and use pre-trained models to address different development needs.
LangChain: LangChain enables the creation of AI-powered applications, chatbots, agents, retrieval workflows, and solutions integrated with language models. Learners gain experience developing intelligent systems and incorporating AI capabilities into practical applications.
Build Career Opportunities with GenAI and Machine Learning Placement Course
Machine Learning Engineer: Machine Learning Engineers build, train, test, and maintain predictive models for business solutions and software applications. They handle datasets, algorithms, model performance, and deployment processes to develop dependable ML systems.
AI Engineer: AI Engineers create and implement intelligent applications using machine learning, deep learning, Generative AI, and automation technologies. They develop practical AI solutions that meet business needs and enhance digital operations.
Data Scientist: Data Scientists examine structured and unstructured datasets to discover patterns, produce insights, build predictive models, and guide data-driven decisions. They apply statistics, programming, machine learning, and analytical methods to address business challenges.
Generative AI Developer: Generative AI Developers create applications using large language models, prompt engineering, AI APIs, retrieval workflows, and intelligent automation. They build AI assistants, content generation systems, chatbots, and other innovative Generative AI solutions.
NLP Engineer: NLP Engineers develop intelligent systems that analyze, interpret, and generate human language. They work with text processing, language models, transformers, conversational AI, and natural language applications to deliver useful AI-powered experiences.
Developing programming, analytical, and artificial intelligence skills can help learners pursue various career opportunities in machine learning, data science, automation, software development, and technology organizations. The GenAI and Machine Learning Training Program equips students with practical knowledge of Python programming, data preprocessing, machine learning algorithms, model development, deep learning, Generative AI, natural language processing, prompt engineering, and AI frameworks. Through practical assignments and industry-focused projects, learners can strengthen their analytical thinking, coding proficiency, problem-solving abilities, model development expertise, and understanding of professional AI processes. The GenAI and Machine Learning Certification in Thiruvanmiyur also helps with career preparation through portfolio creation, resume development, interview preparation, certification guidance, internship opportunities, and placement assistance. Learners gain exposure to practical AI requirements while developing professional projects they can showcase during interviews and job applications. With relevant technical knowledge and project experience, participants can pursue positions such as Machine Learning Engineer, AI Engineer, Data Scientist, Generative AI Developer, NLP Engineer, and AI Developer across technology, software, finance, healthcare, e-commerce, and digital industries.
Explore Career Opportunities After GenAI and Machine Learning Course in Thiruvanmiyur
Career Opportunities After GenAI and ML Course
Generative AI Specialist
A Generative AI Specialist creates AI applications using large language models and generative AI technologies. They work with prompt engineering, model.
Machine Learning Specialist
A Machine Learning Specialist develops, trains, and improves machine learning models. They use Python, ML frameworks, and real-world datasets to create scalable solutions.
Artificial Intelligence Engineer
An Artificial Intelligence Engineer creates intelligent applications by combining machine learning, and generative AI technologies. They integrate AI models into applications.
Data Science Specialist
A Data Science Specialist examines structured and unstructured data to discover patterns and generate valuable insights. They apply machine learning, and data analysis techniques.
Gen AI Application Developer
A Gen AI Application Developer creates applications powered by large language models. They work with AI APIs, prompt engineering, retrieval, and frameworks to create text.
NLP Specialist
An NLP Specialist creates applications that process and interpret 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
PyTorch
Scikit-learn
Hugging Face
LangChain
LangGraph
LlamaIndex
OpenAI API
MLflow
Llama 3
CrewAI
Ollama
Learn from certified professionals who are currently working.
Rahul
Ajeesh, having 8+ yrs of experience
Specialized in: Generative AI, Machine Learning, Python, Deep Learning, Natural Language Processing.
Note: Ajeesh has strong experience in building and applying GenAI and Machine Learning solutions for real-world use cases. With practical knowledge of Python, AI models, and modern Generative AI technologies, he helps learners understand industry concepts and develop effective AI solutions through hands-on learning.
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.
GenAI and Machine Learning Certification
Yes, the course is suitable for beginners and helps them develop skills step by step. It begins with Python basics, data handling, and fundamental machine learning concepts.
Yes, learners receive a GenAI and Machine Learning certification after successfully completing the course. It demonstrates their understanding of machine learning concepts.
Yes, GenAI and Machine Learning skills are increasingly used across various industries. Organizations apply these technologies for automation, and predictive analytics.
Yes, GenAI and Machine Learning can be learned progressively through a structured training approach. Practical projects help learners understand complex concepts.
Frequently Asked Questions
- Learners can attend demo sessions to understand the teaching methods, software tools, project activities, and practical learning approach before enrolling. These sessions help students explore the course syllabus and determine whether the training suits their career goals.
- GenAI and Machine Learning trainers cover practical skills in Python, machine learning algorithms, and Generative AI technologies.
- Their practical guidance helps learners understand AI development, real-world workflows, and applications of emerging AI technologies.
- Career support may include resume development, project assistance, technical interview preparation, mock interviews, and job guidance. These services help learners improve their professional skills, prepare for relevant openings, and build confidence during recruitment.
- A course completion certificate demonstrates that a learner has finished the training program. Employers may also evaluate practical projects, programming skills, AI concepts, technical knowledge, and interview performance when selecting candidates for GenAI and Machine Learning positions.
- Practical exercises and industry-related projects can help learners gain direct experience with AI development tools.
- These learning activities encourage participants to apply technical concepts through guided projects and gain a clearer understanding of AI.
