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Artificial Intelligence Course in Chennai

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  • Advanced and Beginner level classes.
  • 350+ Clients for Recruiting & 15402+ Students Trained.
  • Artificial Intelligence Expert with Over 12+ Years of Experience.
  • Low Prices and the Best Curriculum From a Artificial Intelligence.
  • Lifetime Access to the Student Portal, Study Resources, and Mnc Interview Questions.
  • Next AI Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

04-Mar-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

28-Feb-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

02-Mar-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

02-Mar-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Gain the Best Practices in Artificial Intelligence Course

  • You'll become part of a community of fellow learners and expert instructors who will provide guidance and support throughout your AI training journey.
  • Our Artificial Intelligence Course is offered by leaders in the AI field, providing access to industry experts and the latest insights in the world of AI.
  • You'll have access to a vast library of resources and information, ensuring you can fully grasp complex AI concepts and ideas related to artificial intelligence.
  • Instructors are not only experts but also dedicated educators who provide personalized feedback and support to ensure students' understanding of AI concepts.
  • Our program offers the flexibility of online learning, allowing you to study at your own pace and on your own schedule, making it convenient for individuals with various commitments.
  • Through interactive labs and real-world projects, you will gain valuable hands-on experience working with AI technologies, boosting your confidence and preparing you for real-world AI applications.
  • Artificial Intelligence Course opens doors to exciting career opportunities and collaborations in the field of artificial intelligence, making it a valuable investment in one's future.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Course Objectives

What hands-on experience will I gain from the AI course?

  • Developing educational tools and analysing models.
  • Putting AI algorithms into practise for various packages.
  • Solving AI-related problems using real-world statistics.
  • Developing products and services with AI capability.
  • Experimenting with AI libraries and frameworks.
Common prerequisites for artificial intelligence education include a solid foundation in mathematics (primarily in calculus and linear algebra), programming skills (usually using Python), and a basic understanding of system analysis concepts.
  • Proficiency with AI algorithms, deep learning, and gadget mastery.
  • Opportunities for employment in AI research, data technology, and AI application development.
  • Practical experience in building AI models and solving complex problems.
  • Introduction to Machine Learning and Deep Learning.
  • Data preprocessing and feature engineering.
  • Building and training machine learning models.
  • Deep learning and neural networks.
  • Natural language processing (NLP) and computer vision.
  • Model evaluation and deployment.
As AI continues to advance and find applications in various industries, its scope is expected to have a profound impact on the future. Skilled AI professionals will remain in high demand as AI technologies play a crucial role in shaping how businesses operate and how we interact with technology.
  • Programming languages like Python and R.
  • Frameworks for machine learning like PyTorch and TensorFlow.
  • NumPy and pandas are two examples of libraries for data analysis and manipulation.
  • AI development platforms like Jupyter Notebook and Google Colab.
  • Cloud-based AI services from major providers like AWS, Azure, and Google Cloud.
  • Machine Learning Engineer
  • Data Scientist
  • AI Researcher
  • AI Application Developer
  • Computer Vision Engineer
The issue of studying Artificial Intelligence can range relying to your history and previous enjoy with mathematics and programming. While it could be difficult for beginners, steady exercise, palms-on tasks, and devoted studying can lead to proficiency in AI improvement.

What are the advantages of Artificial Intelligence training?

  • Proficiency in gadget mastering and AI algorithms.
  • Practical competencies in growing AI fashions and packages.
  • Knowledge of exceptional practices in AI development and deployment.
  • Career opportunities in AI-associated fields.

Why should you get into Artificial Intelligence development?

Getting into Artificial Intelligence development offers the opportunity to work on cutting-edge AI projects, contribute to AI advancements, and become a highly sought-after professional in a field that is shaping the future of technology.

Is Artificial Intelligence programming a valuable IT skill?

Yes, Artificial Intelligence programming is a valuable IT skill as it equips individuals to work on AI-related projects, develop intelligent applications, and address complex employing deep learning and machine learning to solve issues.
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Basics of Artificial Intelligence: Comprehensive Overview

Artificial intelligence (AI), a subfield of computer science, is concerned with building intelligent machines that are capable of doing tasks that traditionally call for human intelligence. To enable computers to recognise, reason, learn, and make decisions, it entails the creation of algorithms, machine learning models, and neural networks. Natural language processing, computer vision, robotics, and data analysis are just a few of the many domains where AI has applications. It plays a significant part in automating duties, resolving challenging issues, and improving decision-making procedures. Basics of Artificial Intelligence keeps growing unpredictably, having the potential to transform entire industries and alter how we work and live.

Additional Info

Components of Artificial Intelligence

Artificial Intelligence (AI) is a complex area comprising numerous additives that work together to create smart structures. Here are some of the important thing additives of AI:

  • Machine Learning: Machine Learning is a branch of artificial intelligence that makes a speciality of the improvement of algorithms that permit computer systems to learn from and make predictions or choices primarily based on statistics. It's a essential aspect of AI, enabling systems to improve their performance over time.
  • Neural Networks: Neural networks, stimulated by way of the human brain, are a kind of system mastering version used for tasks inclusive of picture and speech recognition. Deep getting to know, a subfield of neural networks, has received prominence in latest years.
  • Natural Language Processing (NLP): NLP is the AI thing that enables computers to recognize, interpret, and generate human language. It's essential for packages like chatbots, language translation, and sentiment evaluation.
  • Computer Vision: Computer imaginative and prescient includes teaching machines to interpret and apprehend visual facts from the arena, including photographs and movies. It's utilized in applications like facial popularity and object detection.
  • Expert Systems: Expert systems are AI programs designed to mimic the selection-making capabilities of a human professional in a particular area. They use expertise-primarily based policies to resolve complicated troubles.
  • Robotics: AI-powered robots are geared up with sensors, actuators, and choice-making algorithms to perform obligations autonomously. They are used in manufacturing, healthcare, and other industries.
  • Knowledge Representation: Knowledge representation includes structuring data in a way that AI systems can use it to reason and make choices. This may additionally include ontologies, semantic networks, or graph databases.
  • Planning and Reasoning: AI systems use making plans and reasoning techniques to formulate plans and make decisions based on to be had information. This is critical for autonomous structures and trouble-solving.
  • Reinforcement Learning: This element of AI involves training agents to make sequences of decisions in an surroundings to reap particular dreams. It's commonly utilized in game gambling and robotics.
  • Data and Big Data: AI closely is predicated on facts. Big information technologies and techniques are regularly used to acquire, save, and manner massive volumes of data for AI packages.
  • AI Ethics and Bias Mitigation: Addressing ethical concerns and bias in AI is crucial. This involves ensuring fairness, transparency, and accountability in AI systems.
  • AI Development Tools and Frameworks: Developers use specialized tools and frameworks like TensorFlow, PyTorch, and scikit-learn to build AI models and applications.
  • AI Hardware: Specialized hardware, such as Graphics Processing Units (GPUs) and Application-Specific Integrated Circuits (ASICs), is used to accelerate AI computations, especially in deep learning.
  • AI in the Cloud: Cloud computing platforms offer AI services and infrastructure for developers and organizations to build and deploy AI solutions more efficiently.

Tools Used in Artificial Intelligence

Artificial Intelligence (AI) relies on a wide range of tools and technologies to develop, train, and deploy intelligent systems. Here are some of the essential tools used in AI:

  • Python: Due to its ease of use, large library of tools (including TensorFlow and PyTorch), and community support, Python is the most widely used programming language for AI and machine learning.
  • TensorFlow: Developed by Google, TensorFlow is an open-source machine learning framework widely used for building and training deep learning models.
  • PyTorch: Open-source machine learning package PyTorch is well-liked by researchers and developers due to its adaptability and dynamic processing graph.
  • scikit-learn: This Python library provides a wide range of tools for classical machine learning tasks such as classification, regression, clustering, and dimensionality reduction.
  • Keras: An intuitive deep learning API called Keras can be used to build models on top of TensorFlow, Theano, or Microsoft Cognitive Toolkit (CNTK).
  • Jupyter Notebook: Jupyter Notebook is an interactive web-based environment that facilitates data exploration, experimentation, and documentation, making it popular among AI practitioners.
  • OpenAI Gym: A variety of contexts for designing and contrasting reinforcement learning algorithms are offered by this toolbox.
  • NLTK (Natural Language Toolkit): NLTK is a Python library for natural language processing and text analysis, essential for tasks like sentiment analysis and language understanding.
  • Pandas: Pandas is a data manipulation library that helps preprocess and analyze data, a crucial step in AI model development.
  • Matplotlib and Seaborn: These libraries are used for data visualization, allowing AI practitioners to create informative plots and graphs.
  • Google Cloud AI: Google Cloud offers a suite of AI tools and services, including the Cloud AI Platform and AutoML for custom machine learning models.
  • AWS AI Services: Amazon Web Services provides a range of AI services, such as Amazon SageMaker and Lex, for developing AI applications.
  • RapidMiner: This data science platform offers tools for data preparation, machine learning, and model deployment.
  • H2O.ai: With its automated machine learning capabilities, H2O.ai offers an open-source platform for deep learning and machine learning.
  • Orange: Orange is an open-source application for data visualisation and analysis with AI and machine learning features for quick model creation.
  • IBM Watson Studio: This integrated environment offers tools for data science, AI model development, and collaboration.

Future Trends of Artificial Intelligence

Artificial intelligence (AI) has a bright future ahead of it, one that is full of promising trends and innovations. Here are some important AI trends for the future.

  • AI in Healthcare: AI will continue to play a significant role in healthcare, assisting in disease diagnosis, drug discovery, personalized medicine, and even the management of healthcare operations.
  • AI in Edge Computing: As AI algorithms become more efficient, we'll see increased deployment of AI models on edge devices like smartphones, IoT devices, and autonomous vehicles, enabling real-time decision-making without constant cloud connectivity.
  • Conversational AI: Improvements in natural language processing will lead to more sophisticated and context-aware chatbots and virtual assistants, enhancing customer support and communication.
  • AI Ethics and Fairness: There will be a growing emphasis on addressing bias and ethical concerns in AI algorithms, ensuring fairness and transparency in AI-driven decision-making.
  • AI in Education: AI will play a substantial function in personalized studying, adaptive tutoring, and training analytics, helping to tailor schooling to man or woman student wishes.
  • AI in Cybersecurity: AI will be used each for strengthening cybersecurity defenses and for growing greater advanced cyberattack strategies. The cybersecurity battle will an increasing number of involve AI vs. AI.
  • AI in Climate Change: AI will be employed to investigate and version weather information, predict environmental trends, and develop strategies for mitigating weather exchange.
  • AI in Finance: AI will continue to be used for algorithmic trading, hazard assessment, fraud detection, and financial planning, with increasing adoption inside the monetary zone.
  • AI in Entertainment: AI-pushed content generation, together with deepfake films and AI-authored song, will become greater state-of-the-art, probably elevating ethical and copyright problems.
  • AI and Robotics: The synergy among AI and robotics will bring about more advanced and independent robots, with packages in healthcare, production, and catastrophe response.
  • AI in Autonomous Vehicles: Self-driving vehicles and drones turns into more common, with AI structures improving safety and efficiency in transportation.
  • AI in Retail: AI-driven recommendation structures, cashierless stores, and inventory control will keep to reshape the retail enterprise.
  • Quantum AI: As quantum computing matures, it's going to significantly accelerate AI computations, permitting the development of more powerful AI fashions.
  • AI in Agriculture: AI will assist in precision agriculture, optimizing crop yields, monitoring soil fitness, and managing farm operations.
  • AI-Enhanced Creativity: AI gear will aid artists, writers, and designers in innovative approaches, producing new sorts of art and media.
  • AI Regulation: Governments and global bodies will set up rules and requirements for AI, addressing problems of safety, privateness, and ethics.
  • AI in Space Exploration: AI-driven robotics and autonomy will play a important function in space exploration, enabling more complex missions to different planets and celestial bodies.
  • AI in Mental Health: AI-powered tools will be used for early detection and remedy of intellectual fitness conditions, imparting support and counseling.
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Key Features

ACTE Chennai offers Artificial Intelligence Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Artificial Intelligence Course in Chennai
Module 1: Foundation of AI & ML
  • Introduction to Data Science, AI&ML
  • R Essentials
  • Statistical Analysis
Module 2: Python for Artificial Intelligence
  • Python Essentials
  • Python Environment Setup
  • Python Data Types
  • Python Looping and Control Statements
  • Object-Oriented Programming Concepts
  • Database Connection
Module 3: Python Libraries for Artificial Intelligence
  • Numpy
  • Scipy
  • Pandas
  • MatPlot
Module 4: Data Management
  • Data Acquisition
  • Data Pre-processing and Preparation
  • Data Transformation and Quality
  • Handling Text Data
  • Big Data Fundamentals
  • Big Data Frameworks(Spark, Hadoop, NoSQL)
Module 5: SAS-Data Analytics
  • SAS Introduction
  • SAS Functions
  • SAS Operators
  • SAS Procedures
  • SAS Graphs
  • SAS Macros
  • SAS Format
Module 6: Statistical Decision Making
  • Data Visualisation
  • Sampling and Estimation
  • Inferential Statistics
Module 7: Predictive Analytics
  • Linear Regression
  • Multiple Linear Regression
  • Non-Linear Regression
  • Forecasting Models
Module 8: Machine Learning
  • ML Foundations
  • Clustering
  • Classification(Naive Bayes Classifier, K-Nearest Neighbors)
  • Association Rule Mining
Module 9: Artificial Intelligence
  • Foundations of AI
  • Convolution Neural Networks
  • Recurrent Neural Networks
Module 10: Deep Learning with Keras and TensorFlow
  • Deep Learning Libraries
  • Keras API
  • TensorFlow
  • Deep Learning Algorithms
Module 11: Advanced Deep Learning and Computer Vision
  • Distributed and Parallel Computing
  • Deploying Deep Learning Models
  • Reinforcement Learning
  • Generating Images with Neural Style
  • Object Detection through Convolutional Neural Networks
Module 12: Cloud Computing and AWS
  • Introduction to Cloud Computing and AWS
  • Storage Volumes and Elastic Compute
  • Virtual Private Cloud
  • Simple Storage Services
  • AWS Lambda and Amazon Machine Learning
Module 13: Tableau 10
  • Introduction to Data Visualisation
  • Tableau Architecture
  • Working with Data Blending
  • Creation of Sets
  • Calculations, Expression, and Parameters
  • Dashboards, Stories, and Filters
  • Tableau Prep
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Hands-on Real Time Artificial Intelligence Projects

Project 1
AI-Enhanced Video Editing

Develop a video editing tool that uses AI to automate tasks like video stabilization, object removal, and automatic scene transitions.

Project 2
AI in Financial Fraud Detection

Create an AI system that detects financial fraud by analyzing transaction data and identifying unusual patterns.

Get the Impactful Artificial Intelligence Job Opportunities

    After completing our classroom or online artificial intelligence course, ACTE provides placement chances to all students and professionals.
  • We facilitate internship opportunities with leading AI companies, enabling you to develop a strong AI portfolio and earn real-world experience.
  • Our support doesn't end with job placement. We offer ongoing assistance to help you navigate your AI career, ensuring continuous growth and success.
  • Our placement program aims to match your skills and career aspirations with suitable AI job openings, ensuring a better fit for long-term career success.
  • You'll receive comprehensive interview preparation, including mock interviews and feedback, to boost your confidence and performance during AI job interviews.
  • Our placement program provides access to a vast network of industry connections and partnerships, increasing your chances of securing rewarding AI-related job opportunities.
  • Several well-known companies, like HCL, Wipro, Dell, Accenture, Google, TCS, and IBM, are partners with us. It enables us to place our pupils with well-known worldwide firms.

Succeed Our Resourceful Artificial Intelligence Certification

Consider earning an Artificial Intelligence Certification to gain the skills and knowledge needed for this rapidly growing field. Whether you're a seasoned professional or a recent graduate, certification sets you apart in the competitive job market, showcasing your commitment to AI. It covers a wide spectrum of AI topics, from machine learning to natural language processing, providing access to intriguing job prospects across a number of sectors. With flexible learning options and practical projects, you'll gain hands-on experience and be well-equipped to make a real impact. Dive into AI with certification and be part of the transformative AI revolution!

  • Industry Recognition: AI certification validates your expertise in the field, making you stand out to employers.
  • Validation of Proficiency: It confirms your proficiency in AI concepts and techniques.
  • Enhanced Career Prospects: A certification in AI can boost your earning potential and lead to new employment prospects.
  • Skill Diversification: It allows you to diversify your skill set by gaining expertise in AI.
  • Artificial Intelligence Associate Certification: Typically takes a few weeks to 1-2 months of preparation.
  • Artificial Intelligence Professional Certification: May require an additional 2-4 months of in-depth training and preparation.
  • Artificial Intelligence Fundamentals Certification
  • Advanced Machine Learning Certification
  • Deep Learning Specialist Certification
  • Natural Language Processing (NLP) Certification
  • Computer Vision Certification
  • AI Ethics and Responsible AI Certification
While Artificial Intelligence Certifications enhance job opportunities and showcase your skills, securing a job also depends on various factors such as the job market, interview performance, and your overall qualifications and experience.

Professional Artificial Intelligence Certification courses typically do not have strict educational prerequisites. However, it can be advantageous to have a background in computer science, mathematics, or similar subjects. Depending on the certification level and course material, specific criteria could change.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

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Improve Your Career Path With Our Artificial Intelligence Experts

  • Our AI trainers excel at simplifying intricate AI concepts, ensuring learners at all levels can easily grasp the material.
  • They act as mentors, guiding learners through challenging concepts and offering personalized feedback to track and enhance progress.
  • Our AI trainers are true experts in Artificial Intelligence, possessing extensive knowledge of algorithms, machine learning, and neural networks.
  • Trainers stay current with the latest advancements and trends in Artificial Intelligence Course in Chennai , ensuring learners receive the most relevant information available.
  • Trainers foster a collaborative and supportive learning environment where students may exchange ideas, ask questions, and engage in discussions with peers.
  • They provide practical, hands-on experiences through projects, simulations, and case studies, enabling learners to apply AI knowledge in real-world scenarios.

Artificial Intelligence Course Reviews

Our ACTE Chennai Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Vanitha

Student

ACTE is one of the best institutes in Velachery for Artificial Intelligence as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute

Vicky

The learning experience here at ACTE has been one of the best experiences of my life. I would definitely recommend this place to any fresher who wants to take up a career in Data Analytics or learn to Artificial Intelligence in ACTE Institute in Porur.

Barath

Software Engineer

The course structure here covers almost all the latest technologies and statistical techniques. The best part about the Artificial Intelligence course is the hands-on experience that you get after each lecture from a mentor. There is a team of awesome data scientists who help you in applying the knowledge gained during the lectures to solve real-world problems. I believe this is the only institute in Tambaram providing quality and latest concepts for Data Science & Artificial Intelligence Thanks, ACTE

Avanthika

Getting Trained in Artificial Intelligence from ACTE has helped me a lot towards fulfulling my dream of becoming a Data Scientist. There advanced training curriculum & hands-on real-time projects helped me to build knowledge of Data Science. The learning experience with ACTE is excellent, internships with AI-related companies helps me to gain knowledge and dream.

Anila

Student

Its the best ACTE institute to Artificial Intelligence , the faculty is very friendly and will help you through out and will guide you as many times as it requires you to learn. Clean and nice environment in Chennai.

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Artificial Intelligence Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
ACTE
    • Gives
Certificate
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Artificial Intelligence training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Artificial Intelligence Course At ACTE?

  • Artificial Intelligence Course in ACTE is designed & conducted by Artificial Intelligence experts with 10+ years of experience in the Artificial Intelligence domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Artificial Intelligence batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Artificial Intelligence. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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