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Our Hiring Partners
Curriculum Designed By Experts
Industry-focused curriculum for future-ready AI and Machine Learning 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
Strengthen Your Technical Skills with GenAI and Machine Learning Training in T.Nagar
Building intelligent applications is becoming increasingly important in software development, business automation, data analytics, healthcare, finance, e-commerce, and digital services. The GenAI and Machine Learning Offline Course delivers practical training in Python programming, machine learning concepts, data preprocessing, model development, deep learning, Generative AI, natural language processing, and AI application development. Learners understand how intelligent systems are planned, created, trained, evaluated, optimized, and customized for different business requirements. The curriculum introduces important topics such as supervised learning, unsupervised learning, feature engineering, model evaluation, neural networks, and AI workflows to help participants develop useful intelligent applications. Through hands-on exercises, classification models, recommendation systems, and Generative AI applications built with relevant industry technologies, learners strengthen their implementation skills effectively. The GenAI and Machine Learning Training in T.Nagar includes practical assignments and industry-based projects that introduce professional AI workflows, and solution design. Project-oriented activities also encourage portfolio development through AI concepts, trained models, and intelligent application projects. These experiences prepare learners for evolving AI industry demands and opportunities.
Explore the Career Potential of GenAI and Machine Learning Certification
The demand for skilled AI and machine learning professionals is expanding as organizations adopt intelligent automation, predictive analytics, Generative AI, and data-driven solutions across different industries. Emerging technologies such as large language models, AI agents, computer vision, natural language processing, deep learning, and automated decision-making are creating additional opportunities for technology professionals. Learners with practical expertise in Python, machine learning, model development, Generative AI, prompt engineering, and AI frameworks can adapt to evolving industry expectations. The GenAI and Machine Learning Internship Course supports participants in building a strong foundation for opportunities in software development, data science, automation, analytics, e-commerce, finance, and technology sectors. With continuous learning and hands-on project experience, professionals can progress toward roles such as Machine Learning Engineer, AI Engineer, NLP Engineer, and AI Developer. The GenAI and Machine Learning Internship Program in T.Nagar helps learners develop practical capabilities in data preparation, machine learning algorithms, and AI application development. Participants can strengthen their portfolios by creating predictive models, AI assistants, chatbots, recommendation systems, and intelligent application prototypes. Participants can also demonstrate their technical capabilities professionally.
Learn Essential Technologies in GenAI and Machine Learning Placement Course in T.Nagar
Python: Python is extensively used for machine learning, data analytics, automation, model development, and Generative AI applications. Learners practice building predictive models, organizing datasets, and creating intelligent solutions through practical programming exercises.
Scikit-learn: Scikit-learn provides valuable libraries for classification, regression, clustering, preprocessing, model evaluation, and machine learning workflows. Participants learn to prepare datasets and develop systematic solutions for different predictive modeling requirements.
PyTorch: PyTorch supports deep learning, neural networks, model training, computer vision, natural language processing, and advanced AI applications. Learners practice techniques for developing, training, and evaluating intelligent models for different real-world scenarios.
Hugging Face: Hugging Face provides models and libraries for natural language processing, Generative AI, text generation, and intelligent applications. Learners understand modern AI workflows and implement pre-trained models to address diverse development requirements.
LangChain: LangChain supports the development of AI-powered applications, chatbots, agents, retrieval workflows, and language model integrations. Participants gain practical experience designing intelligent systems and incorporating AI capabilities into useful business applications.
Develop Professional Skills with GenAI and Machine Learning Placement Training
Machine Learning Engineer: Machine Learning Engineers develop, train, evaluate, and maintain predictive models for business applications and software solutions. They manage datasets, algorithms, model performance, and deployment workflows to build reliable machine learning systems.
AI Engineer: AI Engineers design and implement intelligent applications using machine learning, deep learning, Generative AI, and automation technologies. They build practical AI solutions that address organizational requirements and improve digital processes.
Data Scientist: Data Scientists analyze structured and unstructured datasets to identify patterns, generate insights, develop predictive models, and support informed decisions. They combine statistics, programming, machine learning, and analytical techniques to solve business problems.
Generative AI Developer: Generative AI Developers build applications using large language models, prompt engineering, AI APIs, retrieval workflows, and intelligent automation. They create AI assistants, content generation tools, chatbots, and innovative Generative AI solutions.
NLP Engineer: NLP Engineers design intelligent systems that process, understand, and generate human language. They work with text processing, language models, transformers, conversational AI, and natural language applications to create effective AI-powered solutions.
Acquiring programming, analytical, and artificial intelligence expertise can prepare learners for career opportunities in machine learning, data science, automation, software development, and technology organizations. The GenAI and Machine Learning Training Program provides 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 hands-on assignments and industry-oriented projects, participants can improve their analytical reasoning, coding proficiency, problem-solving capabilities, model development skills, and understanding of professional AI workflows effectively. The GenAI and Machine Learning Placement Course in T.Nagar also supports career readiness through portfolio development, resume preparation, interview practice, certification guidance, internship opportunities, and placement assistance. Learners explore practical AI requirements while building professional projects to demonstrate their abilities during interviews and job applications. With appropriate technical knowledge and project experience, participants can pursue opportunities 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 service industries.
Discover Career Paths After GenAI and Machine Learning Course in T.Nagar
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.
Training by
Pavan, having 8+ yrs of experience
Specialized in: Generative AI, Machine Learning, Python, Deep Learning, Natural Language Processing.
Note: Pavan 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, GenAI and Machine Learning skills are increasingly used across various industries. Organizations apply these technologies for automation, and predictive analytics.
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 can be learned progressively through a structured training approach. Practical projects help learners understand complex concepts.
Frequently Asked Questions
- Learners explore Python programming, machine learning algorithms, Generative AI, and model development before applying these concepts through guided exercises. The curriculum helps participants understand essential AI technologies and identify suitable learning paths for their career objectives.
- GenAI and Machine Learning trainers introduce Python, machine learning algorithms, deep learning, and Generative AI technologies.
- Practical training enables learners to understand AI workflows, applications, and explore emerging technologies through guided project activities.
- Career preparation may include resume building, project guidance, technical interview practice, mock interviews, and placement assistance. These activities help participants strengthen professional capabilities, prepare for suitable job opportunities, and improve confidence throughout the process.
- The GenAI and Machine Learning Course in T.Nagar provides structured learning in AI concepts, and practical model development. Employers may assess completed projects, technical knowledge, and interview performance when considering candidates for GenAI and Machine Learning positions.
- Practical assignments and guided projects introduce learners to AI development tools, machine learning methods, and Generative AI applications.
- These activities help participants implement technical concepts, improve coding skills, and develop a better understanding of real-world AI solutions.
