Cognixia’s Machine Learning, Artificial Intelligence and Deep Learning training program discusses the latest machine learning algorithms while also covering the common threads that can be used in the future for learning a wide range of algorithms. The course is a complete package that will help learners build their skillsets and meet the demand of the ML-AI industry which is growing by leaps and bounds in recent years. This online course on Machine Learning, Deep Learning and Artificial Intelligence goes beyond the theoretical concepts of the technology like regression, clustering, classification, etc. and discusses their applications as well.
Certification
Participants will be awarded with an exclusive certificate upon successful completion of the program. Every learner is evaluated based on their attendance in the sessions, their scores in the course assessments, projects, etc. The certificate is recognized by organizations all over the world and lends huge credibility to your resume.
By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.
Strategic Application
- What is Machine Learning?
- Machine Learning use-cases
- Machine Learning process flow
- Machine Learning categories
- What is AI?
- Applications of AI
- History of AI
- Inductive Reasoning and Deductive Reasoning
- What all is included in AI? (Robotics, Agent, and more)
- Installation and setup – R and R Studio
- Fundamentals: Vector, function, packages
- Matrices: Building, naming dimensions, operations, visualizing, sub-setting
- Data Frames: Building, merging, visualizing (ggplot2)
- Hands-on/Lab exercises
- Data analysis pipeline
- What is Data Extraction?
- Types of Data
- Raw and processed data
- Data wrangling
- Exploratory data analysis
- Visualization of data
- Loading different types of datasets in R
- Arranging the data
- Plotting the graphs
- Hands-on/Lab exercises
Supervised and unsupervised learning
- Simple linear regression
- Multiple linear regression
- Support vector machine
- Hands-on/ Lab exercises
- Classification
- What is a decision tree?
- Algorithm for decision tree induction
- Creating a perfect decision tree
- Confusion matrix
- What is a random forest?
- What is a Navies Bayes?
- Support vector machine: Classification
- Hands-on/ Lab exercises
- What is Clustering? (Including use-cases)
- What is K-means Clustering?
- What is C-means Clustering?
- What is hierarchical Clustering?
- Hands-on/ Lab exercises
- Feature Extraction with PCA
- Feature Selection techniques
- What are Association Rules & their use cases?
- What is Recommendation Engine & it’s working?
- Types of Recommendation Types
- User-Based Recommendation
- Item-Based Recommendation
- Difference: User-Based and Item-Based Recommendation
- Recommendation Use-case
- Hands-on/ Lab
- What is Time Series data?
- Time Series variables
- Different components of Time Series data
- Visualize the data to identify Time Series Components
- Implement ARIMA model for forecasting
- Exponential smoothing models
- Identifying different time series scenario based on which different Exponential Smoothing model can be applied
- Implement respective ETS model for forecasting
- Hands-on/ Lab
- What is Deep Learning
- Biological Neural Networks
- Understand Artificial Neural Networks
- Building an Artificial Neural Network
- How ANN works
- Important Terminologies of ANN
hands-on learning model
Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)
Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.
One of our specialists will contact you within one business day.
Asked Questions
Find details on duration, delivery formats, customization options, and post-program reinforcement.
Certified Industry Experts/Subject Matter Experts with immense experience under their belt.
To attend the live virtual training, at least 2 Mbps of internet speed would be required.
You will have a lifetime access to our Learning Management System (LMS) which includes Class recordings, presentations, sample code and projects. You will be able to view the recorded sessions on it. We also have a technical support team to assist you in case you have any query.
of the future
Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.