Artificial Intelligence Training Objectives
- An Artificial Intelligence (AI) certification course is a training program that provides individuals with the knowledge and skills needed to design, build, and deploy AI-based solutions. The course typically covers a range of topics, including machine learning, deep learning, natural language processing (NLP), robotics, and computer vision. The course is designed for individuals who have a strong foundation in computer science, mathematics, and statistics and want to specialize in AI.
- Artificial Intelligence is built in any programming language, such as Python, C++, Java, etc. The language chosen depends on the type of AI project, the tools used, and the preference of the programmer. Different languages offer different features and capabilities, so the language selected should be the best fit for the task.
- Artificial Intelligence can range from simple to complex, depending on the problem being solved. AI requires knowledge of mathematics, computer science, and domain-specific knowledge. It can be time consuming and difficult to develop, but the complexity of an AI project can be reduced by using existing AI libraries and frameworks.
- The cost of working with Artificial Intelligence will vary depending on the project, the tools used, and the experience of the programmer. Generally, the cost of developing AI applications will include software engineering costs, hardware costs, and research and development costs.
- A trainee suitable for Artificial Intelligence should have strong problem-solving skills, a good understanding of mathematics and computer science, and a passion for learning and exploring new technologies.
- Artificial Intelligence can be used to solve a wide range of problems, from optimizing traffic patterns to predicting customer behavior. AI can be used in many different industries, such as finance, healthcare, and retail.
- Organizations can use Artificial Intelligence to automate processes, improve decision-making, and increase efficiency. AI can also be used to identify patterns and trends in data, allowing organizations to make informed decisions.
- Artificial Intelligence is used by many different industries and organizations, including healthcare, finance, manufacturing, education, and retail. AI is also used by individuals for personal projects, such as voice assistants and automation tools.
- Yes, there is a high demand for taking an Artificial Intelligence course. AI is becoming increasingly important in many fields, and individuals who have a strong understanding of AI can find many opportunities for employment.
- Microsoft
- Amazon
- IBM
- Intel.
Some of the top firms that hire AI certification professionals include:
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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
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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.
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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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