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Artificial Intelligence Training in India

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Accept Our Artificial Intelligence Certification Preparation at the Cutting-Edge

  • In this course, we will cover the basics of AI for those getting started in the field. This course introduces you to artificial intelligence research's main approaches and areas. AI is explored in both its benefits and potential risks in this course.
  • This course begins with an introduction to neural networks and then details more advanced topics. With the help of neural networks and their basic principles, you will learn how they learn from data.
  • Besides learning how to train neural networks, you will also learn how to generalize them.
  • Our next step will be to use different neural networks and to build real-world applications. You will learn how to solve complex computational problems efficiently.
  • Learn how to leverage artificial intelligence by utilizing neural networks for your applications in this course.
  • By applying a generic, real-world application to each concept, you become independent and capable of solving any problem.
  • Concepts: Data Science, Python, Python basic and Packages, Importing Data, Manipulating Data, Statistics Basics, Error Metrics, Machine Learning, Unsupervised Learning, SVM, SVM Kernal, Other Machine Learning algorithms, Deep Learning Algorithms, NLP, Text to Features, Tasks of NLP.
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Course Objectives

  • Convert machine learning models into application program interfaces (APIs) that other applications can use.
  • Create AI models from the ground up and aid various departments within the firm (such as product managers and stakeholders) in comprehending the model's results.
  • Construct data input and transformation infrastructure.
  • Infrastructure for the data science team should be automated.
  • Conduct statistical analysis and fine-tune the data so that the business can make better decisions.
Yes, programming is required to understand and build Artificial Intelligence solutions. To create solutions that closely mimic people, artificial intelligence (AI)-based algorithms are used. To construct such algorithms, it is necessary to use mathematics and programming. The top five languages for AI work are Python, LISP, Prolog, C++, and Java. These are the languages that allow for the construction of new features and functions in an Artificial Intelligence model by allowing for the ability to drive effective solutions.
Yes, we can assist you in finding employment. The placement of our students is overseen by a dedicated placement officer. We also have connections with a large number of IT companies, and potential HRs and employers approach us for internships and placements. You'll be informed about a range of Machine Learning job openings in Bangalore, and if you're interested, your applications will be exchanged and the process will proceed.
Artificial Intelligence (AI) is at the cutting edge of recent technological advancements. Deep learning and machine learning organizations are thriving, and their values are rising at a quicker rate than before, thanks to increased demand for their solutions. Fully aware of this trend, and ready to provide popular courses on the usefulness of such technology to young aspiring professionals looking to enhance their careers.
The curriculum is designed to provide you a comprehensive grasp of AI topics, such as the principles of statistics required for Data Science, Python programming, and Machine Learning. These AI courses will teach you how to use Python libraries such as NumPy, SciPy, and Scikit, as well as important Machine Learning techniques such as supervised and unsupervised learning, advanced concepts such as artificial neural networks and layers of data abstraction, and TensorFlow.
  • Artificial Intelligence (AI) developer
  • Artificial Intelligence Architect
  • Artificial Intelligence Associates
  • Artificial Intelligence Engineer
  • Artificial Intelligence
  • Data Analyst Manager of Analytics
  • Machine Learning is the administrator of Artificial Intelligence.
Yes, programming is required to understand and build Artificial Intelligence solutions. To create solutions that closely mimic people, artificial intelligence (AI)-based algorithms are used. To construct such algorithms, it is necessary to use mathematics and programming. The top five languages for AI work are Python, LISP, Prolog, C++, and Java. These are the languages that allow for the construction of new features and functions in an Artificial Intelligence model by allowing for the ability to drive effective solutions.

What is Artificial Intelligence's future scope?

Artificial Intelligence will penetrate every field of work in the future. It could help with machine learning, data mining, and analysis, Artificial Intelligence software development, program management, and testing. With the breakthroughs in Artificial Intelligence, there will be a larger demand for AI-certified professionals.

What projects are included during this Artificial Intelligence Course?

Over 15 real-life, branded projects in various domains are included in this Artificial Intelligence Engineer Master's program co-developed with IBM. These projects will help you learn about supervised and unsupervised learning, reinforcement learning, support vector machines, Deep Learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks, among other topics in computer science.

What are the advantages of obtaining certification in Artificial Intelligence?

Advantages of AI certification include:

  • Demonstrate your abilities.
  • Learn how to construct smarter systems.
  • Maintain your competitive advantage in your industry.
  • Improve your knowledge of artificial intelligence.

Who should take this Artificial Intelligence course?

AI courses are well-matched in a variety of positions and disciplines, including:

  • Developers aspire to work in the fields of artificial intelligence and engineering.
  • The analytics managers lead a group of analysts.
  • Those interested in studying artificial information algorithms, such as information architects.
  • Analysts are interested in working in machine learning or artificial intelligence.
  • Graduates interested in artificial intelligence and machine learning as career options.
  • Experienced people who want to use artificial intelligence to improve their industry.

What is Artificial Intelligence used for?

Artificial intelligence (AI) can be beneficial to a variety of enterprises in a variety of industries. It powers helpful assistants like Amazon's Alexa and Apple's Siri, as well as assisting computers in determining whether emails are spam. Single-tasking machines already exist. When contacting a customer service agent via a website chatbot or searching for a term on Google, you may have utilized AI, and the artificial intelligence software completed the word for you.
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Overview of Artificial Intelligence Training in India

Learn how to integrate Artificial Intelligence in online and social media using a variety of techniques. A total of 17 components make up Artificial Intelligence (AI). For any professional, entrepreneur, college's trainee and student looking for the top Artificial Intelligence Institute in India, ACTE is the place to go. Simulation & Real-Time Projects Teach You The Basics Of Artificial Intelligence! You may learn artificial intelligence with our all-in-one programme for students and professionals in the workplace. The Artificial Intelligence training in India exposes you to the notion of AI, which is the act of teaching robots to replicate the way people learn. Learn how to automate your critical business operations with AI by enrolling in the AI and Deep Learning certification programme in India!


Additional Info

Career path in artificial intelligence developer

Artificial Intelligence or AI career opportunities have escalated recently because of its stormy demands in industries. The hoopla that AI can produce a lot of jobs is excusable. A career in AI appearance brighter than the other jobs accessible currently. Employers would like AI talent to fulfil the company’s technological necessities. Abundant AI career opportunity's area unit gift thanks to wide applications in numerous fields. It's additionally a matter of confusion among several AI enthusiasts. Thus, we've got compiled an inventory of promising AI career opportunities.

1. Huge knowledge Engineer:- The role of an enormous knowledge Engineer is to form Associate in Nursing system for the business systems to act with efficiency. Their primary task is to make and effectively administer huge knowledge of a corporation. They even have to hold out to operate of getting outcomes from huge knowledge in an exceedingly strong manner.

2. Business Intelligence Developer:- The primary responsibility of a Business Intelligence Developer is to contemplate the business acumen alongside AI. They acknowledge completely different business trends by assessing difficult knowledge sets. They assist in swelling the profits of an organization by making ready, developing and wholesome business intelligence solutions. Business profit and potency area unit the 2 important factors of development thought-about by them. They additionally assist in optimizing completely different processes and advancement across the organization. Their demands have intense recently because of their capabilities in addressing difficult knowledge of cloud-based platforms.

3. Knowledge somebody:- Data scientists assist in gathering relevant knowledge from multiple sources for the aim of assessing it to realize constructive inferences. The inferences gained area unit authoritative in attempt numerous problems involved with the business. relying upon completely different knowledge patterns, past and gift data, knowledge scientists build numerous predictions. The performance of the business is completely compact because of a knowledge somebody. Job-seekers area unit needed to be equipped with trendy tools like Spark, Hadoop, Pig or Hive whereas following this career possibility. The candidate should be comfy victimization programming languages like Python, Scala or SQL.

4. Machine Learning Engineer:- Machine learning engineers area unit concerned in building and maintaining self-running code that facilitates machine learning initiatives.They work with immense chunks {of knowledge|of knowledge|of information} and possess extraordinary data management traits.

5. analysis somebody:- Researches scientists undertake efforts in playing intensive analysis addressing applications of machine learning and machine intelligence. an inquiry somebody is one World Health Organization has gained experience within the field of mathematics, statistics, deep learning, and machine learning. Applicants area unit expected to possess a Doctor of Philosophy degree or advanced master’s degree in arithmetic or applied science. The wage of an inquiry somebody is sort of high and organizations recruit people who have a decent expertise in their AI career. important information of linguistic communication process (NLP) and Reinforcement Learning is important whereas applying for the role.

6. AI knowledge Analyst:- The major operate of Associate in Nursing AI knowledge analyst is to perform data processing, knowledge improvement, and knowledge interpretation. By improvement knowledge, requisite knowledge is collected to hold out knowledge interpretation. Any variety of useless knowledge is discarded by them in order that it doesn't hamper the info interpretation method.

7. Product Manager:- In the field of AI, the duty of a product manager is to resolve difficult issues by strategically grouping knowledge. you must possess the ability of distinctive relevant issues that obstructs the business proceedings. subsequent step is to urge hold of connected knowledge sets to facilitate knowledge interpretation.

8. AI Engineer:- AI engineers area unit problem-solvers World Health Organization develop, take a look at and apply completely different models of AI. They effectively handle AI infrastructure. they create use of machine learning algorithms and understanding of the neural network to develop helpful AI models.

9. artificial intelligence somebody:- A reduction in jobs can so occur because of the emergence of artificial intelligence within the field of AI. Conversely, jobs will rise as artificial intelligence scientists area unit in incessant demands by major industries for programming their machines. The robots can facilitate in concluding sure tasks with efficiency.

Artificial intelligent Certification Training and Exam and path:

1. Machine Learning A-Z: active Python & R In knowledge Science (Udemy best course ):- This is one in every of the courses to be told regarding machine learning algorithms. it'll teach you the way to form Machine Learning Algorithms in Python and R from 2 knowledge Science specialists. this can be a active course and includes tons of code examples for you to follow.

2. Machine Learning by Apostle weight unit (Coursera best course):- This is most likely the popular Machine learning certification educated by AI and mil pioneer

3. Deep Learning A-Z: active Artificial Neural Networks (Udemy):- This course can teach you the way to form Deep Learning Algorithms in Python from 2 Machine Learning & knowledge Science specialists. This additionally one in every of the top-rated and active course which is able to teach you deep learning by giving some real-world examples.

4. Intro to Machine Learning by Udacity (FREE):- This course provides you each the theoretical and also the sensible aspects of machine learning. One in every of the most effective things regarding this course is that it's delivered by Sebastian. Then, yes, you guessed it right, the person behind self-driving cars.

5. Machine Learning Specialization by Coursera:- This is one in every of the recently more certification courses on machine learning at Coursera. This course on machine learning specialization in Python truly created of six courses.

6. Introduction to Machine Learning by Datacamp:- This certification course on machine learning is most acceptable for R professionals. It expects you to possess previous operating data of R artificial language.

Industry Trends of AI:

The focus of AI adoption is restricted to up the potency of operations or the effectiveness of operations. It may be leveraged to boost the neutral expertise further. Allow us to take a glance at the highest trends expected.

1. Larger Cloud and AI collaboration:- Rico Frances Hodgson Burnett, the director of shopper innovation at legal services' supplier Exigent, says that computing can play a major role within the broad adoption of Cloud Solutions in 2021. Through the preparation of computing, it'll be attainable to watch and manage cloud resources and also the huge quantity of accessible knowledge.

2. AI solutions for IT:- The number of AI solutions that as being developed for it'll increase in 2021. Capgemini’s Simon predicts that AI solutions {that can|which can|that may} observe common IT issues on its own and self-correct any tiny malfunctions or problems will see a rise within the future years. This may scale back period and permit the groups in associate degree organization to figure on high-complexity comes and focus elsewhere.

3. AIOps becomes a lot of fashionables:- Over the previous couple of years, the completeness of IT systems has accumulated. Forrester recently aforesaid that vendors would need platform solutions that mix over one observance discipline like application, infrastructure, and networking. IT operations and different groups will improve their key processes, higher cognitive process, and tasks with AIOps solutions and improved analysis of the volumes of information returning its manner. Forrester suggested the IT leaders to seek out AIOps suppliers UN agency can empower the cross-team collaboration through end-to-end digital experiences, knowledge correlation, and integration of the IT operations management toolchain.

4. AI can facilitate in structuring knowledge:- within the future, we'll see a lot of unstructured knowledge is structured with tongue process and machine learning processes. Organisations can leverage these technologies and make knowledge that RPA or robotic method automation technology will use after they need to alter transactional activity in associate degree organisation. RPA is one in every of the fastest-growing areas within the computer code trade. solely|the sole} limitation that it faces is that it will only use structured knowledge. With the assistance of AI, unstructured knowledge will simply be reborn into structured knowledge, which may offer an outlined output.

5. computing talent can stay tight:- The supply of talent is predicted to be a problem in adopting computing in 2021. There has been a persistent gap in AI talent, and organisations have finally accomplished this potential. it's essential to deal with this gap and make sure that a wider cluster of individuals learn computing. making certain that a broader set of users have access to computing to concentrate on technology, learning ways, and supporting a amendment within the operating surroundings is important.

6. massive scale adoption of AI within the IT trade:- We have seen continuous growth in adoption of AI among the IT trade. However, Simion predicts that organisations can use AI in production and begin victimisation them at an outsized scale. With the assistance of computing, associate degree organisation will get ROI in period. this suggests that organisations can see their efforts being paid off.

7. AI Ethics is that the focus:- Natalie Cartwright, co-founder and COO of European AI, associate degree AI banking platform, predicts that in 2021, organisations can deliver experience on the way to leverage computing against major international issues, stimulate innovation and economic process, and guarantee inclusion and variety. As AI ethics become a lot of necessary to organisations, transparency of information and rule fairness ar 2 of the problems that ar within the spotlight.

8. increased Processes become more and more fashionable:- Artificial intelligence and knowledge science can influence be a district of a much bigger image once it involves innovation and automation in 2021. knowledge ecosystems ar ascendible, lean, and additionally offer knowledge on time to heterogeneous sources. However, it's necessary to supply a foundation to adapt and foster innovation. in keeping with Ana Maloberti, a giant knowledge engineer at Globant, firms can go a step any in optimising their increased business and development processes. victimisation computing, computer code development processes may be optimised, and that we will rummage around for a wider collective intelligence and improved collaboration. we tend to should foster a data-driven culture and grow out of the experimental stages to maneuver into a property delivery model.

9. Computing can become a lot of explicable:- The senior director of product at client knowledge hub Tealium, Dave Lucas, says that there'll be a much bigger concentrate on explainability. As a lot of knowledge laws acquire play, the trust in AI are crucial. To obviously perceive and articulate however every characteristic can contribute to the top prediction or the results of the machine learning model.

10. Voice and Language Driven intelligence:- Particularly in client care centers, the rise in remote operating has driven a good chance to adopt information science or ASR (automated speech recognition) capabilities. But five-hitter of all client contacts AR habitually checked for quality feedback in keeping with ISG’s William Butterfield. Because of the dearth of one-on-one coaching job, organizations will use computing to finish routine quality checks on client understanding and intent to confirm continuing compliance. Top framework or technologies and major tool in artificial intelligent

Future in artificial intelligent developer and trending:

From the dawn of man, we tend to as a species have forever been making an attempt to form things to help United States in day to day tasks. From stone tools to modern-day machinery, to tools for creating the event of programs to help United States in day to day life. A number of the foremost vital tools and frameworks are:

TensorFlow:- On the off probability that you simply at within the realm of computing, you have got possibly got wind concerning, tried or dead some variety of profound learning calculation. It utilizes an appointment of multi-layered hubs that permits you to speedily started, train, and send counterfeit neural systems with immense datasets. This is often the issue that permits Google to acknowledge queries in pictures or comprehend verbally expressed words in its voice-acknowledgment application.

Theano:- Theano is splendidly accordion over Keras, AN abnormal state neural system's library, that runs nearly in parallel with the Theano library. Keras’ basic advantage is that it's a moderate Python library for profound discovering that may keep running over Theano or TensorFlow.

Cafe:- ‘Caffe’ may be a profound learning structure created with articulation, speed, and measured quality as a prime priority. it's created by the Berkeley Vision and Learning Center (BVLC) and by network donors. Google’s DeepDream depends on Caffe Framework. This structure may be a BSD-authorized C++ library with Python Interface.

MxNet:- It permits for mercantilism computation time for memory via ‘forgetful backdrop’ which may be terribly helpful for repeated nets on terribly long sequences.

Keras:- If you prefer the Python-way of doing things, Keras is for you. It's a high-level library for neural networks, victimization TensorFlow or Theano as its backend.

PyTorch:- PyTorch is AN AI system created by Facebook. Its code is accessible on GitHub and at the current time has quite 22k stars. it's been learning an excellent deal of energy since 2017 and is in a very relentless reception development.

CNTK:- CNTK permits users to simply notice and mix in style model sorts like feed-forward DNNs, convolutional nets (CNNs), and repeated networks (RNNs/LSTMs)

Auto ML:- Out of all the tools and libraries listed higher than, automobile metric capacity unit is perhaps one amongst the strongest and a reasonably recent addition to the arsenal of tools

OpenNN:- Jumping from one thing that's fully beginner-friendly to one thing meant for knowledgeable developers, OpenNN offers AN arsenal of advanced analytics.

artificial intelligent Training Key Features:

1. Robotic method Automation (RPA):- To contour business processes and scale back prices, additional CIOs as turning to associate degree evolving technology observe referred to as Robotic method Automation (RPA). With RPA, organizations will modify rule-based tedious business processes, permitting their hands to devote longer to serving shoppers or different higher-value work.

2. Colloquial AI:- AI-powered chatbots, additionally referred to as colloquial AI, enhance the client experience’s reach, responsiveness, and personalization. In keeping with Forrester, colloquial AI solutions rework into higher automation of client service. To better perceive what the human says and wishes, associate degree AI-powered chatbot uses tongue process (NLP) and machine learning to supply an additional natural, near-human-level interaction.

3. The role of AI in aid:- Big knowledge has been extensively wont to determine COVID-19 patients and significant hot points. AI is already serving to the aid sector to a good degree with high accuracy. Besides, researchers have developed thermal cameras and mobile applications to watch individual temperatures and to gather knowledge for aid organizations. By investment knowledge analysis and predicting numerous outcomes, AI will support aid facilities in many distinctive ways in which. AI and cubic centimetre instruments provide insights into human health and additionally suggest preventive steps to avoid the unfold of diseases. AI solutions additionally facilitate doctors remotely track the health of their patients, thereby advancing teleconsultation and remote care.

4. Increase in demand for moral AI:- There is a growing demand for moral AI, and it's at the highest of the list of rising developments in technology. Future decade, in keeping with Forrester, would force CIOs to each answer digital acceleration and proactively handle uncertainty and business continuity with the moral use of computer science. Looking at however trends AR apace dynamical, values-based customers and employees expect businesses to implement AI responsibly. Corporations can actively opt to do business with partners committed to knowledge ethics within the next few years.

5. AI for Cybersecurity and data breach:- In the coming back years, data can grow to be further accessible, and digital knowledge are going to be at bigger risk of being compromised and exposed to hacking and phishing attacks. AI and rising technology can offer the protection department with support in each space against malicious activities. AI can facilitate deter cybercrime within the future with improved cybersecurity measures. Pretend digital activity or transactions that match criminal trends are going to be detected by the AI-enabled framework.

6. The Intersection of the net of Things with AI (AIoT):- Though each technology have individual characteristics, once used along, higher and additional distinctive potentialities open up. The confluence of AI and IoT is primarily the explanation we've intelligent voice assistants like Alexa and Siri.

7. Tongue process (NLP):- NLP is one amongst the wide used applications of AI within the present. NLP’s growing quality will be attributable to its vital usage as Amazon Alexa and Google Home. The requirement for writing or communication with a screen has been eliminated by informatics as currently humans will communicate with robots that perceive their language.

8. Reinforcement Learning:- Reinforced learning (RL) may be a specific application of deep learning that works supported its expertise to reinforce the potency and effectiveness of information. Some use cases of RL ar AI in designing business ways, optimizing advert content, automating industries, dominant craft, and creating motion management robots.

9. Quantum AI:- To measure the Quits to be used in supercomputers, advanced corporations can begin victimization quantum control. Due to quantum bits, quantum computers solve issues at a faster pace than classic computers do. Besides, they assist within the interpretation of information and so forecast many distinctive trends. Quantum computers can facilitate multiple organizations determine inaccessible problems and additionally predict pregnant solutions. Future computers will support numerous use cases in fields like aid, finance, and chemistry.

10. AI-Powered Business prediction, and Analysis:- AI solutions assist in redefining business process with period of time alerts. Researchers paired hyper-automation with psychological feature automation to deeply perceive market desires. Content-intelligent technologies, together with AI-supportive practices, can assist digital employees to develop outstanding skills. Such skills will facilitate them address the automation of tongue, judgment, context formation, reasoning, and data-related insights.

11. Edge Computing:- Edge computing provides gadgets with servers and knowledge storage to access their devices and permits them to place knowledge into them. It's outlined as processing in period of time and is additional powerful than cloud computing services. There's another instance of edge computing that's carried on nodes. It's a mini-server situated within the neighborhood of a neighborhood telecommunications supplier. Nodes facilitate to create a bridge between the native service supplier and therefore the cloud. It prices less, saves time, and provides customers with quick service.

12. Rise of a Hybrid hands:- Post the COVID-19 pandemic, corporations can hop onto the RPA bandwagon, which suggests that psychological feature AI and RPA are going to be wide applied to address high-volume, repetitive activities. As samples of growing usage arise, the workplace can move to a hybrid hands atmosphere. The human hands can work with machine-driven bots and numerous digital assistants. The emergence of a hybrid hands can imply additional cooperative experiences with AI.

artificial intelligence Developer job Responsibilities

This bleeding-edge technology facilitates machines to act with a degree of autonomy, leading to effective execution of reiterative tasks. AI facilitates the creation of a next-generation geographical point that thrives on seamless collaboration between enterprise system and people. Therefore, human resources don't seem to be created obsolete, but rather, their efforts square measure bolstered by rising school. In fact, AI provides organizations with the luxurious of liberating up resources for higher-level tasks.

  • It permits multitasking and eases the work for existing resources.
  • AI permits the execution of yet advanced tasks while not important value outlays.
  • AI operates 24x7 while not interruption or breaks and has no time period
  • AI augments the capabilities of otherwise able people
  • AI has mass market potential, it may be deployed across industries.
  • AI facilitates decision-making by creating the method quicker and smarter.
  • Pay Scale of artificial intelligent Developer

    For professionals with 4-8 years of expertise, the median regular payment vary may be around Rs. 35-50 LPA, and people with over 10 years of expertise will earn over Rs. one large integer once a year. The annual regular payment packages of AI job roles additionally vary per location.

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    Key Features

    ACTE India 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.


    Syllabus of Artificial Intelligence Course in India
    Module 1: Introduction to Data Science
    • What is Data Science?
    • What is Machine Learning?
    • What is Deep Learning?
    • What is AI?
    • Data Analytics & it’s types
    Module 2: Introduction to Python
    • What is Python?
    • Why Python?
    • Installing Python
    • Python IDEs
    • Jupyter Notebook Overview
    Module 3: Python Basics
    • Python Basic Data types
    • Lists
    • Slicing
    • IF statements
    • Loops
    • Dictionaries
    • Tuples
    • Functions
    • Array
    • Selection by position & Labels
    Module 4: Python Packages
    • Pandas
    • Numpy
    • Sci-kit Learn
    • Mat-plot library
    Module 5: Importing Data
    • Reading CSV files
    • Saving in Python data
    • Loading Python data objects
    • Writing data to csv file
    Module 6: Manipulating Data
    • Selecting rows/observations
    • Rounding Number
    • Selecting columns/fields
    • Merging data
    • Data aggregation
    • Data munging techniques
    Module 7: Statistics Basics
    • Central Tendency
    • Probability Basics
    • Standard Deviation
    • Bias variance Trade off
    • Distance metrics
    • Outlier analysis
    • Missing Value treatment
    • Correlation
    Module 8: Error Metrics
    • Classification
    • Regression
    Module 9: Machine Learning
    • Supervised Learning
    • Linear Regression
    • Logistic regression
    Module 10: Unsupervised Learning
    • K-Means
    • K-Means ++
    • Hierarchical Clustering
    Module 11: SVM
    • Support Vectors
    • Hyperplanes
    • 2-D Case
    • Linear Hyperplane
    Module 12: SVM Kernal
    • Linear
    • Radial
    • polynomial
    Module 13: Other Machine Learning algorithms
    • K – Nearest Neighbour
    • Naïve Bayes Classifier
    • Decision Tree – CART
    • Decision Tree – C50
    • Random Forest
    • Perceptron
    • Multi-Layer perceptron
    • Markov Decision Process
    • Logical Agent & First Order Logic
    • AL Applications
    Module 15: Deep Learning Algorithms
    • CNN – Convolutional Neural Network
    • RNN – Recurrent Neural Network
    • ANN – Artificial Neural Network
    Module 16: Introduction to NLP
    • Text Pre-processing
    • Noise Removal
    • Lexicon Normalization
    • Lemmatization
    • Stemming
    • Object Standardization
    Module 17: Text to Features
    • Syntactical Parsing
    • Dependency Grammar
    • Part of Speech Tagging
    • Entity Parsing
    • Named Entity Recognition
    • Topic Modelling
    • N-Grams
    • TF – IDF
    • Frequency / Density Features
    • Word Embedding’s
    Module 18: Tasks of NLP
    • Text Classification
    • Text Matching
    • Levenshtein Distance
    • Phonetic Matching
    • Flexible String Matching
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    Hands-on Real Time Artificial Intelligence Projects

    Project 1
    Automatic Attendance System Project

    The main objective of this work is to make the attendance marking and management system fully automatic, simple and easy.

    Project 2
    Price Negotiator Ecommerce Chatbot System Project

    Price Negotiator E commerce Chat Bot System introduced a system that makes the e-commerce sites to have their works in efficient manner.

    Project 3
    AI Bot to Play Snake Game Project

    The application of AI techniques to playing the game of Snake has not been very well explored. In this project we work on techniques which are empirically compared against.

    Project 4
    Self-Driving Car

    A self-driving car is a huge project that involves a lot of sensors and cameras to obtain information of the surroundings.

    Our Top Hiring Partner for Placements

    Placement arrangement backing is probably the best assistance offered by ACTE. Upon fruitful finish of any course from our foundation we help the traines to land their fantasy position by giving situation help.
    • Artificial Intelligence mentors at ACTE guides the understudies in resume building and urges the understudies to take up the meeting by giving normal counterfeit meeting test meetings.
    • ACTE has restricted with 150+ organizations to give occupations to numerous learner.
    • When applicants have completed a 70% Digital Marketing training course and have a firm grasp of the instructional course material, we will set up meeting calls with them and put them up for F2F engagement.
    • We are giving individual applicants entrances to position and, you may get all the meeting plans on it.
    • Our position group will moreover imply the applicants about the stroll in meeting.
    • We related with a committed position support group that executes the requirements of understudies on employing.

    Get Certified By Machine Learning with AI & Industry Recognized ACTE Certificate

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

    Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    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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    About Qualified Artificial Intelligence Mentors

    • ACTE developing experts by exceptionally experienced professionals& 100 % quality affirmation in preparing .
    • Our course 25000+ hours all out pragmatic situations including utilized contextual analyses.
    • Job situated situations that will make you certain while you begin chipping away at specific innovation from top MNCS.
    • Trainer is concentrated on every understudies to get profited with the training& best equipment set-up lab with very good quality machines .
    • Trainees will get quick reaction to any preparation related questions, either specialized or something else. We exhort our applicants not to stand by till the following class to look for answers to any specialized issue.
    • Instructional meetings are led by continuous trainer with real-time projects.

    Artificial Intelligence Course FAQs

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    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's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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        Job Opportunities in DevOps

        More Than 35% Prefer Artificial Intelligence for automating tasks. Artificial Intelligence Is One of the Most Popular and In-Demand Technologies in the Tech World.

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