Artificial Intelligence Training

Course Overview

Build practical Artificial Intelligence expertise

By taking Artificial Intelligence (AI) training from Tekslate, you’ll acquire all the skills required to kick start your career in AI. You will master all the concepts in AI like tensorflow, deep learning algorithms, advanced artificial neural networks and programming languages required to design intelligent bots. This course also includes predictive analytics decision-making skills, etc. Our curriculum is designed by industry experts based on real-time scenarios. You will get hands-on experience in AI by working on various real-time applications.

Career outcomes

See the destination before the syllabus.

Basic knowledge of statistics and fundamentals of Python programming is required to learn Artificial Intelligence. The following job roles will get benefited by taking up this course:

Role 01

Robotics engineers

Build, customize, test, and maintain Artificial Intelligence solutions for real business requirements.

Role 02

Data scientists

Apply practical Artificial Intelligence skills across real-world projects, teams, and business scenarios.

Role 03

Business analysts

Analyze processes, requirements, data, and outcomes to improve Artificial Intelligence implementations.

Role 04

Hadoop developers

Build, customize, test, and maintain Artificial Intelligence solutions for real business requirements.

Included

Everything included

Live expert training, hands-on practice, and ongoing support—all included with your course.

30 hours live

Learn live with an expert instructor and revisit the session recordings later.

Hands-on projects

20 hours of guided practical work to turn concepts into job-ready skills.

Artificial Intelligence Certification

Follow a focused learning path aligned with the skills assessed in certification exams.

Flexible learning

Use supporting learning material and recordings around your weekday or weekend schedule.

Mentor support

Get your questions answered and receive individual guidance throughout the course.

Lifetime upgrades

Keep access to refreshed course material as the tools and curriculum evolve.

Course journey

Six states, one workflow to job-ready

Your path through the program moves through six clear stages — each one building toward practical, job-ready skills.

Modes of Training

Pick how you learn

Self-Paced Learning

learn_at_your_own_pace

30 hrs of pre-recorded videos & e-learning
Lifetime LMS access
100% practical approach
20 hrs of labs and practicals included
Watch and learn on your schedule

Online Classroom

instructor_led_live

30 hrs of instructor-led live training
Live doubt-solving with trainers
Real-time projects & use cases
Interview prep & job assistance
Everything in self-paced, included

AI Course Upcoming Batches

WeekdaysSeats availableOct 13 – Oct 283:00 AM (ET)

WeekendFilling fastOct 17 – Nov 014:00 AM (ET)

WeekdaysSeats availableOct 20 – Nov 043:00 AM (ET)

WeekendSeats availableOct 24 – Nov 083:30 AM (ET)

For teams and enterprises

Training aligned to your tools, workflows, and business goals

Customize the curriculum, delivery plan, labs, and assessments for your workforce.

Custom curriculumLive online or onsiteProgress reporting

Course curriculum

Artificial Intelligence Course Content

A structured sequence of 35 modules moves from foundations to practical implementation.

35Modules

296+Topics

20hPractice

01Introduction to Deep Learning & AI

Deep Learning: A revolution in Artificial Intelligence
Limitations of Machine Learning

02What is Deep Learning?

03What is Machine Learning?

04Data

05Big Data

06Data Science Deep Dive

07Python

08Operators and Keywords for Sequences

09Numpy & Pandas

10Deep Dive – Functions & Classes & Oops

11Statistics

12Machine Learning, Deep Learning & AI using Python

13 Clustering

14Implementing Association rule mining

15Understanding the Process flow of Supervised Learning Techniques Decision Tree Classifier

16Random Forest Classifier

17Naive Bayes Classifier.

18Project Discussion

19Linear Regression

20Logistic Regression

21Support Vector Machines

22Time Series Analysis

23Feature Selection and Pre-processing

24Which Algorithms perform best

25Model selection cross-validation score

26Text Mining NLP

27PySpark and MLLib

28Deep Learning & AI using Python

29Introduction to Artificial Neural Networks

30Convolutional Neural Networks

31What are RNNs – Introduction to RNNs

32Restricted Boltzmann Machine (RBM) and Autoencoders

33Tensorflow with Python

34Building Neural Networks using Tensorflow

35Deep Learning using Tensorflow

Certification

Earn a credential that carries weight

Certification is a matter of demonstrating your skills and establishing your credibility. Having an Artificial Intelligence Certification proves that the candidate has a strong foundation and expertise in implementing asset management techniques using Artificial Intelligence, and also helps to land in a better job in your career. Tekslate will provide you with a course completion certificate after you complete the course.