Generative AI & Machine Learning Training Advance AI Skills | Updated 2025

Gen AI Course in Chennai for All Graduates, Non-IT Professionals, Diploma Holders & Career Gap Aspirants — ₹22,000/- only.

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Generative AI And Machine Learning Training

  • Join Our Generative AI And Machine Learning Training Institute to Gain AI Technologies.
  • Complete Gen AI and Machine Learning Training Includes DL & Prompt Engineering
  • Engage In Real-Time Projects And Gain Practical Skills With Hands-On Learning Experiences.
  • Choose From Flexible Learning Options: Weekday, Weekend or Fast-track Batches.
  • Advance Your Career With Gen AI & ML Certification Courses Plus Placement Support.
  • Get Expert Guidance For Resume Building, Interview Prep, And Career Growth Strategies.

WANT IT JOB

Become a Generative AI Engineer in 3 Months

Freshers Salary

3 LPA

To

8 LPA

Quality Training With Affordable Fees!
INR ₹23000
INR ₹22000

11943+

(Placed)
Freshers To IT

6489+

(Placed)
NON-IT To IT

8976+

(Placed)
Career Gap

4789+

(Placed)
Less Then 60%

We Offer Both Online and Classroom Training in Chennai & Bangalore.

Our Hiring Partners

Overview of Gen AI and Machine Learning Course

Our Generative AI and Machine Learning Training helps you build strong AI skills through simple, practical lessons. This course covers key technologies like Neural Networks, Natural Language Processing (NLP), Computer Vision, Generative Models, MLOps, and Model Deployment. You’ll also earn a recognized AI & ML Certification and gain hands-on experience through our AI Internship. Plus, we provide a 30-Day Placement Preparation Program with resume building, job portal updates, daily job applications, mock interviews, HR guidance, and soft skills training to help you land your dream AI career faster.

What You’ll Learn From Generative AI And Machine Learning Training

  • This course is perfect for both beginners and professionals aiming to build or upgrade their AI and ML expertise from the ground up.
  • Dive Into Neural Networks, NLP, And Computer Vision To Build Real-World AI Applications
  • Advanced modules such as Generative Models, MLOps, and Model Deployment will help you automate, scale, and manage AI workflows effectively.
  • The course includes real-time projects that mirror industry scenarios, enabling you to apply theory to practical, hands-on solutions.
  • You’ll gain the confidence to design, train, and optimize AI/ML models while following industry best practices in data science and machine learning.
  • Upon completion, you’ll be ready for roles like AI Engineer, Machine Learning Specialist, or Data Scientist and receive a certification that strengthens your professional profile.

Additional Info

Course Highlights

  • Master Neural Networks, NLP, Computer Vision, Generative Models, MLOps, And Model Deployment In One Complete AI & ML Training Course.
  • Get 100% Job Placement Support With Access To Top Hiring Companies Across Industries.
  • Join 11,000+ Learners Placed Successfully Through Our 350+ Hiring Partners.
  • Learn Directly From Industry Professionals With 10+ Years Of Real-World AI & ML Experience.
  • Benefit From Flexible Class Timings, Affordable Fees, And Lifetime Learning Access.
  • Gain Insights From 650+ AI & ML Experts On One Powerful Learning Platform.
  • Shaping Careers In Both Classroom And Online Modes Across 9+ Branches In Chennai And Bangalore.

Exploring the Benefits of Generative AI And Machine Learning Training

  • All-in-One Skillset – A Generative AI and Machine Learning Training Course equips you with essential AI concepts and advanced model development skills. You will work with technologies like Neural Networks, Natural Language Processing (NLP), Computer Vision, Generative Models, and MLOps. This makes you a complete AI professional capable of designing, training, and deploying intelligent systems.
  • Better Job Opportunities – With skills from the Generative AI and Machine Learning Training in Chennai and Bangalore, you become a strong candidate for high-demand AI and ML roles. Companies value professionals who can build predictive models, automate workflows, and create generative applications. You’ll be open to roles like AI Engineer, Machine Learning Specialist, Data Scientist, or Generative AI Developer.
  • Hands-on Learning – The AI & ML Training includes real-time projects and lab sessions that help you learn by doing. Instead of just theory, you will build and deploy AI solutions step-by-step in real-world scenarios. These practical tasks help you understand how AI models are trained, fine-tuned, and deployed. You’ll gain skills in troubleshooting, optimization, automation, and using frameworks trusted by AI experts.
  • Placement Support – After completing the course, you will receive complete placement assistance. This includes resume building, mock interviews, job portal setup, and daily job updates. You’ll get expert guidance to prepare for interviews and boost your chances of getting hired. Our team also offers career counseling and HR support to help you succeed in the AI & ML job market.

Exploring Advanced Tools of Generative AI And Machine Learning Training

  • Neural Networks – Neural Networks are the backbone of AI, enabling machines to learn patterns and make predictions. Used for image recognition, speech processing, and predictive analytics, architectures like CNNs and RNNs help solve complex real-world problems across industries.
  • Natural Language Processing (NLP) – NLP allows machines to understand and generate human language. It powers chatbots, sentiment analysis, translation tools, and voice assistants. With NLP, you’ll learn how to process text data, build language models, and create intelligent applications that communicate naturally with users.
  • Generative Models (GANs & LLMs) – Generative models like GANs and LLMs are transforming industries by creating text, images, audio, or video. They power applications in content generation, design automation, and creative AI solutions.
  • MLOps (Machine Learning Operations) – MLOps helps automate the lifecycle of ML models, from development to deployment. It ensures models are scalable, reliable, and easily managed in production environments. With MLOps, you’ll learn to streamline workflows, monitor performance, and manage large-scale AI projects effectively.

Top AI & Machine Learning Tools Every Professional Must Master

  • Neural Networks – Neural networks are the foundation of AI, enabling machines to learn patterns and make predictions. From image recognition to predictive analytics, understanding architectures like CNNs and RNNs empowers you to solve complex real-world problems.
  • Natural Language Processing (NLP) – NLP allows machines to interpret, generate, and interact with human language. It powers applications such as chatbots, sentiment analysis, translation tools, and voice assistants, making it a critical skill for AI professionals.
  • Generative Models (GANs & LLMs) – Generative models like GANs and Large Language Models can create original content text, images, audio, and video. Mastering these tools is essential for building creative AI applications and innovative solutions in industries ranging from media to tech.
  • MLOps (Machine Learning Operations) – MLOps streamlines the lifecycle of AI and ML models, including development, deployment, monitoring, and scaling. It ensures models are reliable, reproducible, and production-ready, making it indispensable for enterprise AI projects.
  • Computer Vision – Computer Vision enables machines to understand and process visual information from images and videos. By learning techniques like object detection, image segmentation, and video analysis, you can build intelligent systems used in healthcare, automotive, retail, and more.

Key Skills You’ll Gain Through Generative AI And Machine Learning Training

  • AI Model Development – Learn to design, train, and optimize neural networks for tasks like prediction, classification, and pattern recognition. You’ll also build and deploy generative models such as GANs and Large Language Models, enabling scalable, high-performance AI solutions.
  • Data Management and Processing – Master handling structured and unstructured data, including text, images, and video. You’ll practice data cleaning, transformation, and storage, integrate datasets with AI pipelines, and run real-world experiments to train robust machine learning models.
  • Security and Ethics in AI – Gain expertise in ensuring AI models are secure, ethical, and compliant. Learn best practices for data privacy, model governance, bias mitigation, and safe deployment of AI solutions.
  • AI Deployment and MLOps Tools – Use tools like MLflow, Kubeflow, and cloud-based AI platforms for model tracking, deployment, and monitoring. These skills teach you how to manage AI workflows efficiently, automate pipelines, and collaborate effectively on large-scale AI projects.

Major Roles and Responsibilities of Generative AI and Machine Learning Professionals

  • AI/ML Engineer – An AI/ML Engineer designs, develops, and deploys ML models and generative AI solutions. Using frameworks like TensorFlow, PyTorch, and Hugging Face, they build scalable AI systems while ensuring model performance, accuracy, and managing data preprocessing and feature engineering.
  • MLOps Engineer – An MLOps Engineer automates model deployment pipelines, monitors AI applications, and manages model lifecycle operations. Using tools like MLflow, Kubeflow, and Docker, they integrate AI workflows, maintain CI/CD for ML models, and ensure smooth collaboration between data scientists and operations teams.
  • AI Solutions Architect – AI Solutions Architects design end-to-end AI and machine learning solutions aligned with business needs. They select ML frameworks, manage data pipelines, and ensure secure, scalable, and reliable AI architectures. They act as the bridge between technical teams and stakeholders to deliver full-fledged AI solutions.
  • Generative AI Developer – Generative AI Developers focus on building applications powered by AI models, including text, image, or video generation. They work with APIs, pretrained models, and cloud AI services to create functional, scalable, and secure AI applications. Their responsibilities include integrating real-time AI processing, implementing authentication, and embedding analytics or dashboards for model outputs.

Why Generative AI and Machine Learning Training is a Great Career Option for Freshers

  • High Demand for AI/ML Professionals – Companies are actively looking for professionals who can build, deploy, and manage AI and machine learning models. Freshers with AI/ML skills are highly valuable in the job market and can apply for a variety of roles, increasing the chances of landing a job quickly.
  • Multiple Career Opportunities –AI/ML professionals can work in startups, large enterprises, or as freelancers. Roles include AI/ML Engineer, MLOps Engineer, AI Solutions Architect, or Generative AI Developer. This flexibility allows freshers to explore different paths and discover their niche in the rapidly evolving AI industry.
  • Faster Learning and Growth – Generative AI & ML training offers hands-on experience with model development, data preprocessing, training pipelines, and deployment workflows. Learning multiple AI technologies boosts problem-solving skills and technical expertise, accelerating career growth and promotion opportunities.
  • Better Salary Packages – Organizations are willing to offer higher salaries for AI/ML-trained professionals due to their in-demand technical skills. Even freshers can earn competitive starting packages compared to single-skill roles. Continuous learning in AI/ML further enhances earning potential, making it a financially rewarding career choice.
  • Opportunity to Build Real Projects – During the training, you’ll develop and deploy real AI and machine learning projects. This practical experience builds confidence to work on real-world AI applications and strengthens your resume, making you job-ready. Employers highly value candidates who can demonstrate hands-on experience with AI and ML technologies.

How Generative AI and Machine Learning Skills Help You Secure Remote Jobs

  • You Can Build Complete AI/ML Solutions Independently – Having AI and ML skills allows you to design, develop, and deploy models end-to-end. You don’t need a large team to complete projects. Companies hiring remotely often seek professionals who can build, train, and maintain AI/ML solutions independently. Your ability to design, deploy, and monitor AI workflows makes you a strong candidate.
  • You Understand How the Whole AI System Works – Knowing how different AI and ML components interact, from data preprocessing and feature engineering to model training and deployment, helps you troubleshoot issues efficiently. Remote teams value professionals who can debug models and pipelines without constant supervision. Your understanding of the full AI/ML ecosystem ensures smooth collaboration with distributed teams.
  • You Can Work with Startups and Small Companies –Startups and smaller businesses often have limited resources. They prefer hiring AI/ML professionals who can handle multiple tasks, from data management and model training to deployment and optimization. Your broad AI skill set makes you a perfect fit for remote roles in lean teams.
  • You’re a Good Fit for Freelance and Contract Projects – AI/ML training prepares you to manage projects for various clients remotely. Many freelance opportunities require expertise in building and deploying machine learning models, and clients prefer professionals who can architect, train, and optimize AI solutions end-to-end. Your ability to work with diverse AI technologies makes you highly valuable.
  • You Can Easily Join Global Tech Teams – AI/ML skills meet the standards of companies worldwide. Many international firms look for professionals who can work independently and communicate effectively. Your expertise across multiple AI/ML frameworks and tools enables you to integrate seamlessly into global remote teams.

What to Expect in Your First Generative AI/ML Role

  • Working on Both AI Models and Applications – As an AI/ML professional, you’ll handle both the development of machine learning models and their integration into applications. You may preprocess data, train models using frameworks like TensorFlow or PyTorch, and deploy them using cloud AI platforms or APIs. Balancing model development and application integration is key, keeping your role dynamic and intellectually stimulating.
  • Collaborating with Teams – You won’t work in isolation. AI/ML professionals frequently collaborate with data scientists, MLOps engineers, software developers, project managers, and QA teams. Effective communication ensures alignment on project goals and timelines. You may participate in team discussions, provide updates, and troubleshoot model or application issues together. Strong teamwork is crucial for project success and professional growth.
  • Learning and Adapting Quickly – AI and ML technologies evolve rapidly. Your first AI/ML role will require you to pick up new frameworks, tools, or deployment techniques as projects demand. Freshers are expected to learn on the job, so staying curious and asking questions when unsure is essential.
  • Debugging and Fixing Issues – Troubleshooting is a core part of working in AI/ML. You’ll spend time identifying and resolving problems in data pipelines, model training, or deployed applications. Using monitoring and logging tools like MLflow, TensorBoard, or custom dashboards will help you detect and fix issues efficiently. Patience and problem-solving are key skills here.
  • Managing Deadlines and Projects – Time management is essential in your first role. You might work on multiple models or a single large-scale AI project, so planning is crucial. Tools like GitHub, Jira, and MLOps platforms help track progress and manage tasks. Asking for guidance when needed and learning to meet deadlines are important for success as an AI/ML professional.

Top Companies Hiring Generative AI and Machine Learning Professionals

  • TCS – TCS, one of India’s largest IT services companies, actively hires AI/ML professionals for various data and AI-driven projects. Employees work on global client initiatives using cutting-edge AI and machine learning frameworks. TCS emphasizes continuous learning and career growth, making it a stable and reputable company to start and advance an AI/ML career.
  • Infosys – Infosys is a global leader in consulting and IT services, known for large-scale AI and digital transformation projects. AI/ML professionals at Infosys manage end-to-end AI solutions, including model development, deployment, and optimization. The company provides structured training, mentorship, and international exposure, ideal for enhancing both technical and professional skills.
  • Accenture – Accenture, a multinational professional services provider, hires AI/ML experts to work on real-world AI projects across industries. Professionals handle complex challenges and build scalable, secure, and high-performing AI and ML solutions. Accenture promotes innovation, collaboration, and continuous upskilling through various learning platforms.
  • Wipro – Wipro frequently recruits AI/ML professionals to design, deploy, and manage AI solutions while offering consulting and business process services. Employees gain hands-on experience with diverse AI frameworks and data pipelines across multiple domains. The company provides flexible work options, certifications, and global project exposure, ideal for freshers and experienced professionals seeking steady growth.
  • Capgemini – Capgemini, a global technology and consulting firm, values AI innovation and data expertise. AI/ML professionals contribute to building intelligent applications, automated workflows, and enterprise AI solutions. The company supports career advancement through internal programs and promotes a healthy work-life balance.
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Tools Covered For Gen AI And Machine Learning Course

TensorFlow PyTorch Keras Scikit learn Hugging Face OpenAI APIs Google Vertex Azure Machine Learning

Job-Guaranteed Course with Add-on Benefits

Gen AI And Machine Learning
Learn Gen AI ans ML to design intelligent models, automate workflows, and create real-world AI solutions.

5.0 (7895)

Placement-focused training in Aptitude and Spoken English for career success.

4.8 (7115)

Access LMS, AI-powered interview practice, and placement portal for complete career support.

4.9 (7321)

INR ₹22000
INR ₹23000

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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.

Gen AI And Machine Learning course Syllabus

  • 🏫 Classroom Training
  • 💻 Online Training
  • 🚫 No Pre Request (Any Vertical)
  • 🏭 Industrial Expert

Students enrolling in the Generative AI and Machine Learning Training can select a track that aligns with their interests and career goals. The program is offered both in classroom and online formats, enabling learners to study AI/ML from anywhere. This flexible learning approach allows students to focus on areas such as model development, natural language processing, computer vision, data pipelines, or MLOps, while still gaining all the essential skills required to become a proficient AI/ML professional. Comprehensive placement support is provided upon course completion, ensuring learners are job-ready in the AI/ML field.

  • Basics of AI and Machine Learning – Learn core concepts like algorithms, data handling and model building to create a strong foundation.
  • Advanced Techniques and Frameworks – Explore deep learning and use popular tools like TensorFlow and PyTorch for AI development.
  • Real-World Projects – Work on practical projects like image recognition and text analysis to gain hands-on experience.
  • Model Deployment and Tools – Understand to deploy AI models using tools like Jupyter, Git and cloud platforms.
Introduction to Artificial Intelligence
Data Preprocessing and Exploratory Data Analysis (EDA)
Supervised Machine Learning Algorithms
Unsupervised Learning and Clustering Techniques
Neural Networks and Deep Learning Frameworks
Natural Language Processing (NLP) Essentials
Model Deployment and AI Ethics

Establish a strong foundation in programming and AI concepts:

  • AI Basics – History, types and real world applications
  • Python Fundamentals – Setting up and using interactive coding environment
  • Jupyter Notebook – Interactive coding environment setup and navigation
  • Essential Libraries – NumPy and Pandas for data manipulation

Prepare and explore data for better model results:

  • Data Cleaning – Handling missing data, duplicates and outliers
  • Feature Engineering – Creating new features and scaling data
  • Visualization – Using Matplotlib and Seaborn to visualize data patterns
  • Statistical Techniques – Correlation, distributions and summaries

Learn core predictive modeling techniques:

  • Regression Models – Linear and Logistic Regression fundamentals
  • Decision Trees and Random Forests – Understanding ensemble methods
  • Model Training – Concepts of training, testing, overfitting and underfitting
  • Evaluation Metrics – Accuracy, precision, recall and F1-score

Discover how to analyze unlabeled data:

  • Clustering Basics – K-Means and Hierarchical Clustering algorithms
  • Dimensionality Reduction – Principal Component Analysis (PCA)
  • Data Grouping – Identifying patterns without labels
  • Visualization of Clusters – Plotting clusters using Python tools

Explore deep learning models and frameworks:

  • Neural Network Fundamentals – Layers, neurons and activation functions
  • TensorFlow and Keras – Installing and using popular deep learning libraries
  • Model Training – Backpropagation, loss functions and optimizers
  • Building Deep Models – Creating and fine tuning neural networks

Understand how machines process human language:

  • Text Preprocessing – Tokenization, stop words removal, stemming and lemmatization
  • Text Representation – Bag of Words, TF-IDF and word embeddings (Word2Vec, GloVe)
  • Popular NLP Libraries – Using NLTK and SpaCy for language tasks
  • Applications – Sentiment analysis, text classification and chatbots basics

Learn to deploy models and understand ethical AI practices:

  • Model Serialization – Saving and loading models with Pickle and Joblib
  • Deployment Tools – Basics of Flask and FastAPI to serve AI models
  • Model Monitoring – Tracking model performance and updating models
  • Ethical Considerations – Addressing bias, fairness and transparency in AI

🎁 Free Addon Programs

Aptitude, Spoken English.

🎯 Our Placement Activities

Daily Task, Soft Skills, Projects, Group Discussions, Resume Preparation, Mock Interview.

Gain Hands-On Experience with Real-World Gen AI Projects

Project 1
Generative Text Automation

Develop AI pipelines to generate blogs, reports, and summaries using LLMs. Automate content workflows and ensure accuracy with prompt engineering.

Project 2
AI-Powered Chatbot Development

Build an intelligent chatbot with OpenAI and LangChain. Enable natural conversations, automate FAQs, and integrate with business workflows for real-time support.

Project 3
Text-to-Image Application

Create a generative app using Stable Diffusion or DALL·E. Convert text prompts into creative visuals for design, marketing, or storytelling projects.

Project 4
AI Security & Compliance Project

Implement role-based access, API key management, and ethical AI checks. Ensure AI solutions comply with security, privacy, and governance standards.

Project 5
AI Monitoring & Optimization

Design MLflow dashboards to monitor accuracy, drift, and response time. Track costs, fine-tune models, and optimize performance for real-world AI deployments.

Who Should Take an Gen AI and Machine Learning Course

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

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Job Roles For Gen AI And Machine Learning Training

Gen AI Engineer

AI Developer

AI Consultant

MLOps Engineer

AI Security Specialist

Gen AI Architect

AI Infrastructure Manager

AI Insights Specialist

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Gen AI and ML Training Offered Classroom (Chennai & Bangalore) and Online.

No Coding
8 Lakhs+ CTC
No Work Pressure
WFH Jobs (Remote)

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

Get Advanced Gen AI And ML Certification

You'll receive a certificate proving your industry readiness.Just complete your projects and pass the pre-placement assessment.This certification validates your skills and prepares you for real-world roles.

📜 Industry-Recognized Certification

Earn official, shareable certifications recognized by top companies — a powerful proof of your job-ready skills.

🚀 Get Discovered by Top Employers

Let recruiters come to you with your verified profile — focus on learning while we connect you to real opportunities.

💼 Real-World Project Experience

Work on real-world projects to sharpen your skills and build a portfolio that impresses employers instantly.

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Lowest Gen AI and Machine Learning Course Fees

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

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Gen AI And Machine Learning Course FAQs

1. What Are the Requirements for Becoming a Gen AI Professional?

Basic computer knowledge, logical reasoning, and analytical thinking are sufficient to start. A curiosity for AI technologies, eagerness to learn Gen AI tools, and problem-solving skills are essential. Prior coding experience is helpful but not mandatory, as most Gen AI training programs in Chennai begin at the beginner level.
Gen AI is increasingly adopted across industries such as IT, healthcare, finance, retail, and manufacturing. The demand for AI Engineers, AI Developers, and Generative AI Specialists is growing rapidly as organizations implement automation, AI-powered workflows, and innovative solutions.
  • Gen AI Fundamentals
  • AI Model Development & Fine-Tuning
  • Natural Language Processing & Computer Vision
  • Automation & Workflow Integration with AI APIs
  • Monitoring & Analytics of AI Systems
Yes, hands-on projects are integral to Gen AI training. Learners work on scenarios such as AI model building, prompt engineering, chatbot development, automated content generation, and workflow automation. Real-time projects help develop practical skills, problem-solving abilities, and a strong AI portfolio.
Yes, Gen AI training programs include resume and portfolio guidance tailored for AI roles. Support emphasizes certifications, live projects, and technical expertise. Many institutes also conduct mock interviews and career counseling to prepare learners for opportunities in leading AI companies.

1. Who Can Join Gen AI Training?

Gen AI training is open to anyone aiming to build a career in AI technologies. Students, fresh graduates, IT professionals, or non-technical learners can enroll. Courses start with AI basics, so no prior technical background is required.
No formal degree is mandatory. What matters most are Gen AI certifications, hands-on project experience, and a strong portfolio. Many professionals successfully enter AI careers without a degree by gaining practical skills through training and certifications.
Basic computer skills and logical reasoning are sufficient. Programming knowledge is an advantage for developer or AI engineering tracks but not essential for general AI roles. Curiosity about AI, automation, and emerging technologies will help learners excel.
No, coding is not required to begin Gen AI training. Many modules focus on using AI tools, APIs, and no-code/low-code platforms. Programming skills can be learned gradually during advanced modules for model customization and automation.
Yes, non-technical professionals can absolutely join Gen AI training. The program is designed to start with foundational concepts, making it accessible for learners from any background while gradually introducing practical AI tools and applications.

1. What Kind of Placement Support Is Provided After Gen AI Training?

Institutes offer complete placement support, including resume preparation, interview practice, job referrals, and career mentoring. Training centers collaborate with AI hiring partners, startups, and tech firms to connect learners with Gen AI-related roles.

2. Will I Get Access to Real-Time Projects for My Resume?

Yes, Gen AI training includes live projects for your resume. Projects may involve AI model development, automated workflows, chatbot creation, and content generation, giving learners strong hands-on experience to showcase to recruiters.

3. Can I Apply for Jobs in Top IT and AI Companies After Completing the Course?

Absolutely! With Gen AI certifications and practical training, learners can apply for roles in leading IT firms, AI startups, and product companies. Companies like TCS, Infosys, Wipro, Accenture, Capgemini, and global AI innovators actively hire Gen AI-certified professionals.

4. Is Placement Support Available for Freshers with No Experience?

Yes, training institutes provide specialized support for freshers. Programs focus on job readiness through projects, resume building, interview preparation, and mock tests, enabling even non-IT learners to secure entry-level AI roles.
Yes! Gen AI training emphasizes creating a professional portfolio with completed projects, AI applications, and model implementations. This portfolio demonstrates practical skills and problem-solving abilities, making it easier for recruiters to assess your expertise and increasing your chances of landing interviews at top companies.
Yes, upon completing Gen AI training , learners receive a course completion certificate validating their skills. Institutes also guide students for official Gen AI certifications, such as AI Developer, AI Engineer, or NLP Specialist.
Yes, Gen AI is an emerging technology with global demand. Certified professionals enjoy competitive salaries, diverse career opportunities, and high demand across IT, fintech, healthcare, and digital industries.
No strict prerequisites exist. Basic computer knowledge and logical thinking are sufficient. Courses are structured for beginners as well as experienced professionals, ensuring steady growth in AI skills.
Gen AI certification enhances technical expertise and opens roles such as AI Developer, AI Engineer, NLP Specialist, and AI Automation Consultant. It boosts employability, increases salary potential, and prepares learners for advanced AI careers.
Learners gain expertise in AI model building, prompt engineering, automation, NLP, computer vision, and analytics. Training includes hands-on projects for developing AI workflows, content generation tools, and real-world AI applications.

1. Will I Receive Job Placement Support After Completing the Course?

Yes, most Gen AI institutes provide strong placement support, including resume reviews, portfolio development, interview practice, and job referrals. Industry partnerships ensure access to real AI job opportunities.
Gen AI course fees vary based on trainer expertise, course duration, learning mode (online/offline), and additional services like certification guidance or placement support. Institutes offering live projects and one-on-one mentoring may charge higher fees.
Yes, Gen AI training is designed to be cost-effective. Many institutes provide flexible payment options, EMI plans, and discounts for students and freshers. Considering career growth, the course offers excellent value for investment.
Yes, Gen AI training fees are generally consistent across cities. Institutes maintain standard pricing, ensuring learners receive quality training whether in Chennai, Bangalore, or Hyderabad. Students can expect the same structured curriculum and practical learning outcomes.

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Gen AI Course in Chennai for All Graduates, Non-IT Professionals, Diploma Holders & Career Gap Aspirants — ₹22,000/- only.

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