Artificial Intelligence Training Objectives
- The Artificial Intelligence certification program provides a comprehensive overview of the principles, technologies, and applications of AI. The curriculum includes courses on subjects like Robotics, Machine Learning, and Natural Language Processing, among others. It also includes hands-on projects and assessments to help you develop your skills. Upon successful completion of the program, you will receive a certification verifying your proficiency in Artificial Intelligence.
- Artificial Intelligence typically employs programming languages such as Python, Java, C++, and Prolog. It also employs scripting languages such as JavaScript and HTML. Additionally, AI-specific languages such as Lisp and Prolog are also used.
- The complexity and difficulty of Artificial Intelligence depend on the specific task and the technology being used. Generally, AI can be quite challenging to use, and it may require specialized skills and knowledge to effectively implement and use AI.
- The salaries for jobs that involve working with Artificial Intelligence can vary greatly, depending on the company and the specific role. In general, salaries for AI-related jobs are competitive and offer competitive salaries and benefits.
- Those who have an interest in technology, programming, and data science, and who have a basic understanding of mathematics and computer science, would benefit most from taking Artificial Intelligence training.
- The content taught in an AI program typically includes topics such as machine learning, deep learning, natural language processing, computer vision, robotics, and other AI-related topics. The program may also include assignments and assessments to test the student's understanding of the material.
- Artificial Intelligence can be used in a wide variety of contexts, including medical diagnosis, image recognition, natural language processing, robotics, and more. AI can also be used to improve customer service, optimize logistics, and automate tasks.
- Yes, Artificial Intelligence is an IT skill. AI requires knowledge of programming languages, data structures, and algorithms, as well as an understanding of the principles of machine learning and artificial intelligence.
- Yes, there is a high demand for Artificial Intelligence courses due to its increasing importance in many industries. As AI continues to become more widely adopted, the demand for AI-related skills and knowledge will likely continue to increase.
- Yes, coding is a fundamental part of Artificial Intelligence. AI requires knowledge of programming languages, data structures, and algorithms, as well as an understanding of the principles and applications of machine learning and artificial intelligence.
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Not Just Studying
We’re Doing Much More!
Empowering Learning Through Real Experiences and Innovation
Artificial Intelligence Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Artificial Intelligence Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Artificial Intelligence technologies :
Syllabus of Artificial Intelligence Online Course Download syllabus
- Fundamentals Of Python
- Advantages of Python
- Python compiler and PVM
- Python instillation and environment
- Datatypes In Python
- Strings
- Char
- Lists
- Tuples
- Range
- Sets
- Dictionaries
- Input/output
- Control Statements
- If statement
- If…else statement
- If…elif…else statement
- While loop
- For loop
- Break statement
- Continue statement
- Pass statement
- Array creation
- Array attributes
- 1D and 2D Arrays
- Matrix
- Built in and User defined functions
- Writing your own functions
- Importing functions
- Modules And Packages
- Modules
- Packages
- Imports
- Series
- Dataframes
- Creation of dataframes from different sources
- Viewing data in dataframe
- Operations on dataframe
- Handling missing data
- Line plot
- Bar graph
- Pie chart
- Subplots
- Histogram
- Data Visualization Using Seaborn
- Distribution plot
- Kde plot
- Count plot
- Box plot
- Scatter plot
- Sub plots
- Lmplot
- Pair plots
- Exploratory Data Analysis (EDA)
- Outliers And Their Treatment
- Supervised Learning Vs Unsupervised Learning
- Feature Extraction And Conversion
- Simple Linear regression
- Multiple Linear regression
- Polynomial Linear regression
- Ridge regression
- Bias and Variance tradeoff
- Lasso regression
- Elasticnet regression
- Logistic regression
- Naive Bayes (Gaussian NB and Multinomial NB)
- KNN Classifier
- SVM
- Regularization
- Kernel Trick
- Decision Tree
- Entropy
- Gini Index
- Random Forest
- Conusion Matrix
- Bootstrapping, Bagging and Boosting
- K-Means Clustering
- Elbow technique
- Association Rule Learning
- Apriori Algorithm
- Model Selection
- Selecting appropriate model for our data
- Introduction To Deep Learning
- Biological Neural Network
- Artificial Neural Network
- Perceptrons
- Layers of a Network
- Activation Functions
- Identity Function
- Binary step function or Threshold function
- Logistic function or Sigmoid function
- Hyperbolic Tangent function
- Softmax function
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Industry Projects
Exam & Certification
- Participate and Complete One batch of Artificial Intelligence Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Artificial Intelligence course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
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Artificial Intelligence Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.
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