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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
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
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.
Gen AI and Machine Learning Overview
Practical Skills Developed in Gen AI and Machine Learning Training in OMR
The Course provides practical knowledge of Python, data preparation, machine learning techniques, deep learning, natural language processing, Generative AI, prompt engineering, and AI solution development. Gen AI and Machine Learning Placement Course provides learners understand how AI and ML solutions are designed, implemented, assessed, improved, and applied to various business needs. Through practical exercises and projects, participants work on predictive analytics, machine learning models, NLP solutions, AI assistants, recommendation systems, customer classification, and Generative AI applications while building strong technical, analytical, and problem-solving skills for industry.
Career Opportunities After Gen AI and Machine Learning Internship Course in OMR
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Machine Learning Engineer: Builds, trains, evaluates, and improves machine learning Professionals to solve business and technical challenges. They work with datasets, algorithms, preprocessing methods, and evaluation techniques to develop dependable machine learning solutions.
AI Engineer: Creates artificial intelligence solutions using machine learning, deep learning, natural language processing, and Generative AI technologies. AI Engineers integrate intelligent models and capabilities into applications designed for automation and business requirements.
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Data Scientist: Examines datasets to discover patterns, generate insights, and build predictive models. Data Scientists use Python, statistical methods, machine learning techniques, and analytical approaches to support data-driven decisions and real-world business solutions.
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Generative AI Developer: Builds AI applications using large language models, prompts, embeddings, AI APIs, and Generative AI technologies. They create solutions for content creation, summarization, question answering, virtual assistants, and other AI-powered business use cases.
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NLP Engineer: Develops solutions that analyze and understand human language using natural language processing and AI techniques. Gen AI and Machine Learning Professionals work on chatbots, sentiment analysis, search solutions, and intelligent communication applications.
Latest Tools Included in Gen AI and Machine Learning Offline Course
Learners to widely used technologies including Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Generative AI platforms, AI APIs, and Jupyter Notebook. Participants use these tools for data preparation, analysis, machine learning model creation, deep learning, experimentation, prompt engineering, and AI application development. The Gen AI and Machine Learning Institute curriculum provides practical exposure to data manipulation, model training, evaluation, AI integration, and solution development. Through hands-on projects, learners apply these technologies to different machine learning and Generative AI use cases while building practical industry-focused skills.
Key Skills Covered in Gen AI and Machine Learning Certification in OMR
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Python & AI Development: Develops the programming foundation needed for machine learning, artificial intelligence, data analysis, and Generative AI development. Learners use Python to prepare datasets, build models, automate processes, and develop practical AI solutions.
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Generative AI & LLM Technologies: Covers large language models, prompt engineering, embeddings, AI APIs, and Generative AI workflows. Learners explore how these technologies can be incorporated into applications for content creation, intelligent assistants, and process automation.
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Data Preparation & Feature Engineering: Helps learners clean, transform, analyze, and prepare datasets for machine learning applications. Participants work with data manipulation, preprocessing, and transformation techniques to enhance the quality of model inputs.
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Model Evaluation & Optimization: Covers approaches for assessing machine learning models, choosing suitable metrics, and enhancing model performance. Learners compare different models and improve their solutions based on project requirements and evaluation outcomes.
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AI Application Development:Gen AI and machine Trainers learning Helps learners integrate AI models, Generative AI platforms, and APIs into software applications. Participants gain practical experience developing solutions for automation, recommendations, and intelligent user experiences.
Industry Applications of Gen AI and Machine Learning Projects
Practical exposure to applications such as predictive analytics, customer insights, recommendation systems, natural language processing, sentiment analysis, chatbots, document analysis, and Generative AI. Learners explore how machine learning models and AI technologies can be incorporated into applications to support automation, analysis, content creation, and intelligent decision-making. Gen AI and Machine Learning Certification provide Project-based activities help participants understand complete AI workflows, including data preparation, model development, evaluation, prompt engineering, AI integration, testing, and application development for practical business scenarios.
Career Opportunities After AI and ML Training
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
Priya, having 7+ yrs of experience
Specialized in: Generative AI, Machine Learning, Python, Deep Learning, Large Language Models.
Note: Priya 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 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 Gen AI and Machine Learning certification after successfully completing the course. It demonstrates their understanding of machine learning concepts.
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 progressively through a structured training approach. Practical projects help learners understand complex concepts.
Frequently Asked Questions
- Training institutes may provide demo sessions where learners can explore the teaching approach, tools, projects, and practical learning methods before enrolling. A demo session helps students understand the course structure and decide whether the program suits their learning requirements.
- Gen AI and Machine Learning trainers generally have practical knowledge and experience in areas such as machine learning, and Generative AI.
- Industry exposure enables trainers to explain real-world AI workflows, development practices, and the practical application of modern AI technologies.
- Many training institutes provide career assistance that may include resume preparation, project guidance, technical interview practice, mock interviews, and job support. Such assistance can help learners prepare for suitable opportunities and strengthen their overall career readiness.
- A course completion certificate confirms that the learner has completed the relevant training. Employers may also consider practical experience, portfolio projects, programming abilities, AI knowledge, and interview performance when assessing candidates for Gen AI and Machine Learning roles.
- 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 tasks and develop a better understanding
