Artificial Intelligence Course in Marathahalli

  • Experienced Artificial Intelligence Professional with 12+ Years.
  • Artificial Intelligence Training offered at Competitive Rates.
  • Guidance for Artificial Intelligence Job Interview Preparation.
  • Collaboration with 362+ Recruiters, 13,409+ Students Trained.
  • Includes Online Study Aids, Video Content, and Interview Questions.
Hands On   40+ Hrs
Projects   4 +
Placement Support   Lifetime Access
3K+

Course Fees on Month ₹8999 ₹18000
(Lowest price in chennai)

See why over 25,000+ Students choose ACTE

Artificial Intelligence Training Curriculum

Curriculam Designed By Experts

Expertly designed curriculum for future-ready professionals.

Industry Oriented Curriculam

An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company

  •  
    30+  Case Studies & Projects
  •  
    9+  Engaging Projects
  •  
    10+   Years Of Experience
  • Definition and Scope
  • History and Evolution
  • Types of AI
  • AI Applications
  • Ethical Considerations
  • AI Development Tools
  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Model Evaluation
  • Feature Engineering
  • Neural Networks Overview
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Deep Learning Frameworks
  • Training Deep Learning Models
  • Transfer Learning
  • Introduction to NLP
  • Text Preprocessing
  • Text Representation
  • NLP Applications
  • Sentiment Analysis
  • Named Entity Recognition (NER)
  • Introduction to Computer Vision
  • Image Preprocessing
  • Object Detection
  • Image Segmentation
  • Face Recognition
  • Image Generation
  • Introduction to Reinforcement Learning
  • Markov Decision Processes (MDPs)
  • Q-Learning
  • Deep Q-Networks (DQN)
  • Policy Gradient Methods
  • Applications of Reinforcement Learning
  • Understanding AI Bias
  • Ethical Frameworks
  • Fairness and Accountability
  • Privacy and Security
  • Bias Mitigation Techniques
  • Regulatory Landscape
  • Introduction to Robotics
  • Robot Perception
  • Motion Planning
  • Robot Control
  • Human-Robot Interaction
  • Autonomous Systems
  • AI in Medical Imaging
  • Predictive Analytics in Healthcare
  • Drug Discovery and Development
  • Personalized Medicine
  • Telemedicine
  • Ethical Issues in AI Healthcare
  • AI in Business Strategy
  • Predictive Analytics in Finance
  • Algorithmic Trading
  • Customer Relationship Management (CRM)
  • Supply Chain Optimization
  • Risk Management

  • Adaptive Learning Systems
  • Intelligent Tutoring Systems
  • Educational Data Mining
  • Personalized Learning
  • Gamification
  • Future Trends in AI Education
  • Show More

    Artificial Intelligence Training Projects

    Become a Artificial Intelligence Expert With Practical and Engaging Projects.

    •  
      Practice essential Tools
    •  
      Designed by Industry experts
    •  
      Get Real-world Experience

    Chatbot Creation

    Build a basic chatbot using natural language processing to handle simple user queries and provide responses based on pre-defined rules.

    Image Classification

    Image Classification Develop a model to classify images into categories using a simple neural network and datasets like MNIST or CIFAR-10.

    Sentiment Analysis

    Create a tool to analyze text sentiment using basic machine learning algorithms on datasets like movie reviews. Recommendation System

    Recommendation System

    Design a system that suggests products or movies based on user preferences and past behaviors using collaborative filtering or content-based methods.

    Voice Recognition

    Implement a voice recognition system to convert speech into text, utilizing libraries like SpeechRecognition and machine learning models for accuracy.

    Object Detection

    Build an application that identifies and locates objects within images or video streams using pre-trained models like YOLO or SSD.

    Generative Adversarial Networks

    Develop GANs to generate realistic images or other data types, exploring advanced techniques like DCGANs or StyleGANs.

    AI system Autonomous Vehicles

    Create an AI system for self-driving cars that uses computer vision, sensor fusion, and reinforcement learning to navigate and make driving decisions.

    Natural Language Generation model

    Design a sophisticated NLG model that generates human-like text, such as news articles or stories, using advanced architectures like GPT or BERT.

    Key Features

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

    Batch Schedule

    Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session

    • 10-Feb-2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
    • 12-Feb-2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)

    Weekend Regular (Class 3Hrs) / Per Session

    • 15-Feb-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)

    Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session

    • 16-Feb-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)

    Enquiry Form

    Top Placement Company is Now Hiring You!
    • 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.

    Artificial Intelligence Training Overview

    Career Options for Artificial Intelligence Programmer

    The career options for the programmer of AI are diverse, ranging from service as an AI researcher who works on new algorithms and models. A data scientist analyses large datasets to derive insights and build predictive models. Machine learning engineers are specialists in developing and deploying machine learning models into production environments. They may be AI developers, including AI technologies in applications and systems. Others are AI consultants who help advise organizations about AI strategies and implementations. Others may work in AI product management, guiding the development and launch of AI-driven products. There is also AI ethics, focusing on whether the AI systems are designed and used to be ethical and responsible.

    Requirements for an Artificial Intelligence Training

    • Strong Mathematical Foundation: Strong Mathematical Foundation Many algorithms and models used in Artificial Intelligence are based on linear algebra, calculus, probability, and statistics.
    • programming languages: programming languages such as Python, R, and Java would be needed to implement AI solutions and programming languages work through different Artificial Intelligence frameworks.
    • Experience with Machine Learning: Experience with Machine Learning Any previous experience or research on machine learning provides a substantial foundation for advanced Artificial Intelligence concepts.
    • Exposure to AI Frameworks: Exposure to AI Frameworks Building and training AI models necessitate hands-on experience with Artificial Intelligence frameworks and libraries such as TensorFlow, Keras, or PyTorch
    • Familiarity with AI Frameworks: One must have first-hand experience with Artificial Intelligence frameworks and libraries like TensorFlow, Keras, or PyTorch in order to develop and train AI models.
    • Understanding Domain Knowledge: Understanding Domain Knowledge When applying AI effectively, it is useful to have a basic knowledge of any domain, such as health care, finance, or robotics.

    Reasons for Getting an Artificial Intelligence Training

    An Artificial Intelligence Training has some tremendous advantages, which begin with acquiring niche knowledge in a rapidly changing industry and discovering possible career opportunities. AI courses provide hands-on training in state-of-the-art technologies and methodologies, making them proficient in building and implementing AI models. Such courses also open their eyes to solving difficult real-world problems through intelligent automation and data analysis. Most are focused on industry trends and best practices, which you will be able to innovate in AI. Opportunities to connect with peers and industry professionals can further support professional growth. Remaining current with all the advances allows you to stay competitive within a highly dynamic job market. Finally, the skills you acquire from it can lead to areas with high job demand, ensuring job security and growth potential.

    Techniques and Trends in Artificial Intelligence Development

    • Deep Learning: Deep learning has many layers in its neural networks used for processing to enhance the predictability of a model. It was the primary reason for the advancement in image and speech recognition.
    • Natural Language Processing: Natural Language Processing emphasizes the ability of machines to read, understand, and then generate human language, which has led to other applications like chatbots and machine language translation.
    • Reinforcement Learning: An approach called reinforcement learning involves models learning through interactive work with their environments and receiving feedback about their actions. This approach can be used for complex decision-making tasks and robotics applications.
    • Explainable AI: Introduce Explainable AI. Develop strategies on how AI decision-making can be made transparent and human-understandable to address accountability and issues of trust related to AI.
    • Edge AI: Bring Edge AI Upon deployment of AI algorithms on devices instead of centralized data centres, this reduces both response time and several data transfers.
    • Federated Learning: Federated Learning Train models spread over many decentralized devices without transferring the data, so the data stays local, preserving privacy and efficiency in distributing machine learning environments.

    The Most Recent Artificial Intelligence Tools

    Artificial intelligence has grown during the last few years, bringing several powerful technology tools developed specifically to expedite development and improve capabilities. One is OpenAI's GPT-4 and the perfectly natural language processing capability that would provide a more complex ability to produce comprehension. Google's TensorFlow 2.0 will allow the user to be much more flexible and even easier to use in creating a machine learning model. With Facebook's PyTorch, the dynamic computing graph and intuitive interface make it a favourite for production and research. IBM Watson's business solutions powered by AI keep it a significant player in the market. Supporting all this, NVIDIA's support through their GPUs and CUDA for high-performance processing supports training complicated models.

    Add-Ons Info

    Career Opportunities  After Artificial Intelligence

    AI Research Scientist

    Develops and refines algorithms to advance AI capabilities and publishes findings. This role involves deep learning, machine learning, and innovative AI methodologies to solve complex problems.

    Machine Learning Engineer

    A machine learning engineer creates, constructs, and implements systems. focuses on improving model performance, developing scalable methods, and incorporating solutions into real-world settings.

    Data Scientist

    A data scientist examines and deciphers complicated data to assist in making decisions. uses data visualization, machine learning, and statistical methodologies to drive corporate goals and uncover insights.

    AI Product Manager

    Oversees the development and launch of AI-powered products. Manages cross-functional teams, defines product requirements, and ensures alignment with business goals and user needs.

    AI Ethics Specialist

    Assures responsible development and application of AI technologies. assesses the ethical ramifications, deals with prejudices, and creates rules to advance accountability, fairness, and openness.

    NLP Engineer

    Focuses on developing systems that understand and generate human language. Works on tasks such as text analysis, sentiment analysis, and conversational AI to improve human-computer interaction.


    Skill to Master
    Machine Learning
    Data Analysis
    Neural Networks
    Natural Language Processing
    Computer Vision
    Deep Learning
    Predictive Analytics
    Algorithm Development
    Data Mining
    Statistical Modeling
    Robotics
    Cognitive Computing
    Show More

    Tools to Master
    TensorFlow
    PyTorch
    Keras
    IBM Watson
    Google AI Platform
    Microsoft Azure AI
    OpenAI GPT
    Caffe
    H2O.ai
    RapidMiner
    KNIME
    Dialogflow
    Show More
    Our Instructor

    Learn from certified professionals who are currently working.

    instructor
    Training by

    Vikram , having 8 yrs of experience

    Specialized in: Neural Networks, Predictive Analytics, AI in Healthcare, Robotics Process Automation (RPA), AI Model Optimization, and Big Data Analytics.

    Note: Vikram is a leading expert in AI model optimization and deployment. His extensive experience with RPA and predictive analytics has led to significant advancements in operational efficiency for various clients. He is proficient in using machine learning frameworks such as Keras and Scikit-Learn and has a strong background in applying AI techniques to real-world healthcare problems.

    Job Assistant Program

    We are proud to have participated in more than 40,000 career transfers globally.

    Artificial Intelligence Certification

    Certificate
    GET A SAMPLE CERTIFICATE

    Certifications validate your skills and knowledge in a specific field, enhance your professional credibility, improve job prospects, and potentially lead to higher salaries. They also demonstrate your commitment to continuous learning and professional growth.

  • Industry-specific Artificial Intelligence certifications
  • Vendor-specific Artificial Intelligence certifications
  • Professional Artificial Intelligence certifications
  • Technical Artificial Intelligence certifications
  • Management Artificial Intelligence certifications
  • While Artificial Intelligence certification does not guarantee a job, it can significantly enhance your employability by making you more competitive in the job market. Employers often prefer candidates with Artificial Intelligence certifications as they bring validated skills and expertise to the role.

    Yes, you can obtain multiple Artificial Intelligence certifications. Many professionals pursue several Artificial Intelligence certifications to expand their expertise across different areas, making them more versatile and competitive in their careers.

  • Software Developer
  • Cloud Architect
  • Data Analyst
  • Project Manager
  • Network Engineer
  • Ethical Hacker
  • Business Analyst
  • IT Support Specialist
  • Educational Qualifications
  • Work experience/Experience
  • Completion of training course
  • Passed certificate exam
  • While some are entry-level and don’t require any prior work experience, others can need expertise or useful abilities. Gaining real-world experience can improve one’s chances of passing the Artificial Intelligence certification exam and aid in comprehension.

    An ACTE Artificial Intelligence certification can be worth investing in, as it provides specialized training, industry-recognized credentials, and expert guidance. It can help improve your career prospects and give you the skills to succeed in a competitive job market.

    Show More

    Frequently Asked Questions

    • Yes, you can access the course materials online, which typically includes lecture notes, reading materials, video tutorials, and additional resources. Online access allows for flexible learning, enabling you to review the content at your own pace and revisit materials as needed.
    • The Artificial Intelligence Training at ACTE is offered through various modes including online live classes, self-paced online courses, and in-person training sessions. Each mode provides different levels of interaction and flexibility to accommodate different learning preferences and schedules.
    • Access to Recorded Sessions You may be able to access recorded versions of the missed class.
    • Make-Up Classes Some programs offer the opportunity to attend make-up classes or sessions.
    • Course Material Review You can review course materials and resources provided online.
    • Instructor Support Contact the instructor for any questions or clarifications regarding missed content.
    • Peer Assistance Reach out to classmates for notes or insights from the missed class.
    • If you have any more questions, you should contact the course coordinator or support team at ACTE. They can provide detailed information, address specific concerns, and assist with any additional queries related to the course.
    • Visit the ACTE Website.
    • Select the Course.
    • Fill Out the Registration Form.
    • Make Payment.
    • Confirm Enrollment.

    STILL GOT QUERIES?

    Get a Live FREE Demo

    • Flexibility: Online, weekends & more.
    • Hands-on: Projects & practical exercises.
    • Placement support: Resume & interview help.
    • Lifelong learning: Valuable & adaptable skills.
    • Full curriculum: Foundational & advanced concepts.

    Enquiry Now