Complete Artificial Intelligence for Beginners Course Overview

Last Updated : 22 Oct 2024

Complete Artificial Intelligence for Beginners Course Overview

Complete Artificial Intelligence for Beginners

Our Complete Artificial Intelligence for Beginners course offers a 15-day intensive program designed to provide you with a strong foundation in Python programming, Machine learning, and Deep learning. Through hands-on labs and real-world applications, you'll learn essential skills like Data preprocessing, Model building, and Optimization techniques. The course covers both supervised and un Supervised learning, dives into Neural networks, CNNs, RNNs, and Transformer networks. By the end, you'll be proficient in analyzing, modeling, and solving Data science problems, making you ready to tackle real-world AI challenges. No prior AI experience required, just basic knowledge of any OOP language.

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Course Fee	5,700
Total Fees	5,700 (USD)

USD

4,500^♱

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Course Fee	4,500
Total Fees	4,500 (USD)

USD

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

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Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

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Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Course Prerequisites

Prerequisites for the Complete Artificial Intelligence for Beginners Course:

Basic Knowledge of Object-Oriented Programming: Familiarity with object-oriented programming concepts is essential. While Python is recommended, knowledge of any object-oriented programming language is sufficient.
Basic Familiarity with Python: Understanding Python basics, such as syntax, data types, and control structures, will be advantageous.
Willingness to Learn: An eagerness to dive into artificial intelligence and data science, along with dedication and commitment to the intensive 15-day course.

These prerequisites ensure you have the foundational knowledge required to successfully undertake this comprehensive training in artificial intelligence.

Target Audience for Complete Artificial Intelligence for Beginners

The "Complete Artificial Intelligence for Beginners" course provides a robust grounding in Python programming, machine learning, and deep learning, ideal for those looking to start a career in AI and data science.

Aspiring Data Scientists
Machine Learning Engineers
Software Developers interested in AI
IT Professionals looking to upskill
Graduates with a background in Computer Science or Engineering
Research Scientists
Technical Project Managers
Analytics Professionals
Business Analysts
AI Enthusiasts and Hobbyists

Learning Objectives - What you will Learn in this Complete Artificial Intelligence for Beginners?

Course Introduction and Learning Outcomes

The Complete Artificial Intelligence for Beginners course aims to provide a solid foundation in AI, covering key concepts and practical skills in Python programming, machine learning, and deep learning. Participants will gain hands-on experience to proficiently analyze, model, and solve real-world data science problems.

Learning Objectives and Outcomes

Understanding AI Fundamentals
- What AI is, its history, and its applications across various fields.
- Key differences and roles of machine learning and deep learning.
Mastering Python for Data Science
- Python installation, setup, and basics, including syntax, data types, control structures, functions, and modules.
- Proficiency in essential Python libraries: NumPy, Pandas, Matplotlib, and Seaborn.
Data Analysis and Pre-processing
- Techniques for data cleaning, handling missing/categorical data, and Exploratory Data Analysis (EDA) with visualizations.
Data Preprocessing Techniques
- Methods for data normalization, feature encoding, and splitting datasets into train, test, and validation sets.
Supervised and Unsupervised Learning
- Understanding regression (Simple and Multiple Linear Regression) and classification techniques (Logistic Regression, SVM, Decision Trees