Course Highlights
Duration | 36 hours |
Delivery Format | Online Mode (Personalised Mentor Driven) |
Cities/ Centers | available in Online only mode |
Tools Covered | Tableau,Hadoop,SQL |
Experiential Learning | Industry faculty, Case studies and Assignments, Career Support |
Prerequisite Skills | Statistics,Linear Algebra,Calculus ,Probability ,Programming Languages and MS-Excel |
Certification | Certificate from IemLearning |
Course Description
Bulletin Description:
We’re pleased to offer this Professional Certification Program in Machine Learning and
Artificial Intelligence in Business. Our goal is to ensure businesses and individuals have the
education and training necessary to succeed in the AI-powered future. This certificate guides
participants through the most recent headways and technical approaches in artificial
intelligence technologies such as natural language processing, predictive analytics, deep
learning, and algorithmic methods to further your knowledge of this ever-evolving industry.
Awarded upon successful completion of four qualifying courses in Professional Education,
this certificate furnishes you with the best practices and actionable knowledge expected to
put you and your organization at the bleeding edge of the AI revolution.
Detailed Description
Learn
Statistical concepts - basics to advanced levels.
Model Planning, Data Modelling and Model Evaluation using real-time case studies.
Various Machine Learning algorithms and their implementation through hands-on in the
class.
Robotics in business.
Features
Online Classes - Get the services of best trainers from anywhere
LIVE instructor-led training in classroom mode
Personalized attention
Highly interactive sessions
Entirely hands-on driven session
Practical inputs from real-time scenarios
Problems and case study driven training
Machine Learning algorithms will be taught using at least 2 Case Studies for every
algorithm
Course curriculum
-
1
An Introduction to Artificial Intelligence and Machine Learning in Business
- What is Artificial Intelligence (AI) & Machine Learning (ML)?
- History of AI & ML
- When to apply AI & ML?
- What AI can and can’t do?
- AI vs Humans
- Case studies
-
2
Natural Language Processing in Business
- Introduction to Natural Language Processing (NLP)
- Introduction to Python Language
-
3
Robotics in Business
- NLP using Python
- Case studies
- Projects
- Robotics foundation
- The scenarios of industrial robotics and advanced robotics
- The fundamentals of kinematics, differential kinematics and statics
- Motion planning
- Estimation
- Robotics in AI
- Projects
-
4
Artificial Intelligence in Business and Society and the Future of Artificial Intelligence
- Recent AI uprising
- How is the world changing?
- Building blocks of AI
- Common tools used for creating AI
- Application of AI & ML in various industries
- Building AI & ML practice in your association
- Ethics of AI & ML