Artificial Intelligence
- Overview
- Agenda
- Benefits
- Certification
- Who Can Attend
- FAQ's
- Registration
Artificial Intelligence (AI) is the next big thing in the technology field and a large number of organizations are already implementing AI and the demand for professionals in AI is growing at an amazing speed. Artificial Intelligence (AI) course provide you with a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world. Artificial Intelligence (AI) makes computers to perform tasks such as speech recognition, decision-making and visual perception which normally requires human intelligence that aims to develop intelligent machines.This training program in AI is intended to cover the concepts of Artificial Intelligence from the basics and builds foundation to an advanced implementation.
Session 1
- Introduction to Artificial Intelligence
- Overview, Past and Current Challenges
- AI domains, Machine Learning Concepts
- Real World Examples
Session 2
- Introduction to Python
- Python Basics, Spyder IDE, Jupyter Notebook
- Floats and Strings , Simple Input & Output
- Variables , Single & Multiline Comments
- Booleans and Comparisons, Conditional
- Statements (IF ELSE), Operator Precedence
- Lists - Operations and Functions, Pandas & IO
Session 3
- Computer Vision
- Overview, Basic Concepts, Algorithms
- Real world Examples
- Hands-on Activity - Face Detection
Session 4
- Natural Language Processing
- Overview, Basic Concepts, Algorithms
- Conversational AI
- Real World Examples
- Hands-on Activity - Design a chatbot using Dialogflow
Session 5
- Machine Learning Process
- Data Preparation, Dimensionality Reduction
- Training model, Evaluation & Benchmark
Session 6
Supervised Learning
Overview, Basic Concepts & Algorithms
Real World Examples
Hands-on Activity - Linear Regression
Hands-on Activity - Logistic Regression
Hands-on Activity - Decision Tree
Session 7
- Unsupervised Learning
- Overview, Basic Concepts, Algorithms
- Real world Examples
- Hands-on Activity - K Means
- Hands-on Activity - Dendogram
Session 8
Deep Learning
Overview, Basic Concepts, Algorithms
Real World Examples
Hands-on Activity - Object Recognition
Artificial Intelligence training program will give you details about how AI can help drive business value.
This training program includes basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes.
You should be able to apply machine learning workflow to solve business problems and measure Return on Investment based on performance metrics.
You will be given a certificate of achievement on successfully completing all activities during the workshop.
This training is ideal for:
- Anyone whose work interfaces with data analysis who wants to learn key concepts, formulations, algorithms, and practical examples of what is possible in machine learning and artificial intelligence
- Professionals who hold a bachelor's degree (at a minimum) in a technical area such as computer science, statistics, physics, or electrical engineering
- Managers who need the vision and understanding of the many opportunities, costs, and likely performance hurdles in predictive modeling, especially as they pertain to large amounts of textual (or similar) data
- Professionals looking for a deeper understanding and hands-on experience with industry experts
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We recommend a minimum of 15 and maximum of 30 participants for a workshop.
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A 2-day long classroom sessions with loads of hands-on activities
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Yes absolutely, our coaches and mentors will be available after workshop to help you. You can reach them anytime.
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Lot of things have impacted the advancements in AI:
- Processing Power has increased at amazing rate
- Loads of data is available and processed
- AI skills & Platforms are now readily available
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After completing the course, you get qualified for job profiles such as:
- Data Scientist
- AI Developer
- AI Engineer
- Machine Learning Engineer
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Please refer the Cancellation and Refund Policy.
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