AI Career Transition Program
Become an AI Engineer by mastering our syllabus which starts from choosing right AI Solution to building it end-to-end ecosystem and deploying it into embedded devices, mobile, web etc.
Co-Developed by Senior AI Engineers from INTEL
4000+
Learners
9Lac - 56Lac
Avg. Salary/annum
Online
Mode of Learning
6Months
Learning Duration
Industry Specific Projects
15+ Real Life Projects while learning
Live projects going to be provided based on your current experience & industry.
Get eligibility to collect internship certificate for 6Months
Connect with Trainer's 24x7 help
Build one POC(Proof of Concept) from specific industry with complete solution with deployment
We believe in connecting our trainers with students via whatsapp, linkedin and instagram.
3+ Live Projects Demonstration
Starting from Business Case, Project Charter, Agile, AI Architecture, Software Engineering to final Project release.
No Cost EMI
No need to worry about payment, we got you No cost EMI option. Start now!
MOVE
AS AN
AI
ENGINEER
3 Hackathon's on AI
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Lead Instructor
Mr. Kanth
Data Scientist | Consultant | Podcaster | Youtuber | Mentor
Mr. Kanth is a Data Scientist and Six Sigma Certified. He is a Data Science Consultant for various Top-MNC's like Nokia, EY, Cognizant, BMW etc. He delivered end-to-end AI Solutions using Machine Learning and Deep Learning on Embedded Devices. Built various AI Solutions which impacted financial gains and human effort reduction.
Mr. Kanth is an Orator & Mentor delivered AI, Machine Learning, Deep Learning, IOT, Industry 4.0 & Digital Twin Customised Training Programs across Dubai, Malaysia, Singapore, South Africa, Sudan etc. He delivered more than 100+ trainings on both sides like client side and vendor side.
Program Syllabus
Best in industry career transition based syllabus built by Senior AI Engineers from Intel, NVIDIA, BOSCH etc which helps learners to build knowledge from zero level to real time working confidence on AI Projects.
Program Syllabus
Introduction To AI Course
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What is AI & Various Branches of AI?
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Which programming tools are used for AI? Various modes of releasing AI models and their Real time applications
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Evolution of Artificial intelligence from Rule Based to Artificial Neural Network Based
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AI Teaching methodologies like Reinforcement Learning, Supervised, Unsupervised & Semi-Supervised Learning
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Various Artificial Intelligence Algorithms basic intro based on Teaching methodologies
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Lifecycle of AI Automation & Architecture(ML, DL, Q-Learning etc)
Python
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Introduction to Python ,IDE, Sypder and Jupyter
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Installation - Link
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Different Libraries and their usage
Introduction to List, Tuple, Set, Dict, Scalar, Vector, Matrix, Array, Tensor, DataFrame, Series
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List and Tuple
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A Assignment on List, Tuple, Set
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Set Recap and Dict
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For loop, While, If, if else, Case, Switch, Escape Sequence
Introduction to Pandas
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A Assignment on Data Cleaning - Big Data Set
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Entire Pandas Commands
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A 10 Mins to Pandas to work on dataset
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Numpy Commands & Linear Algebra
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A Assignment on Numpy using Image or 3D data
Machine Learning
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Linear Regression, Logistic Regression SLR, MLR
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Correlation, Assumptions of Correlation
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Linear Regression - Based on two points, OLS
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Gradient Descent
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Assumptions of Linear Regression
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Coding on Linear Regression & Learning Assignment
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Coding Practice and Break Day
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Deep Math on Logistic Regression & Coding
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Hypothesis, Confusion Matrix, Classification Report, ROC and AUC
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Decision Trees, Random Forest Deep Dive
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Real time project on Decision Tree, Random Forest
Introduction to Tensorflow 2.0
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Broadcasting in tensorflow
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Placeholders, Variables, Constants
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Different API's in Tensorflow
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Deep Dive in Tensorflow 2.0 & Various components of Tensorflow
Introduction to Matplotlib & Seaborn
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Deep Dive into Matplotlib & Seaborn
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Data Understanding using Matplotlib & Seaborn
Introduction to Scikit - Learn
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Feature Scaling, Feature Selection, Dimensionality Reduction, Imputation, One-Hot encoding
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Deep Dive into Scikit Learn
Natural Langauge Processing
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Deep Dive into NLP & Text Mining
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Tokenization, Lexical Analysis, Semantic Network, DTM, TFIDF, Coreference Matrix etc
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Word Cloud, Sentiment Analysis
Deep Learning with Tensorflow
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Neural Networks
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Convolutional Neural Network Part-I
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Convolutional Neural Networks – II
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Creating a Docker image and Cloud Deployment
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Reinforcement Learning
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Q-Learning
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Frozen Lake
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Project on Reinforcement Learning
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Game Building
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Search Algorithms
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Nega Max algorithms
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Knowledge Representation
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Real time project on Game Building
"BEPEC AI Program was lit 🔥, I'm able to answer every interview question with more confidence only because of real time projects. We builded various AI Solutions as projects. But Mr. Kanth demands more time from every learner and he make every student as practitioner."
Swapnil - 21LPA
Avg. 10+ Career Transitions Every
Month
Every month we are making our students and participants from different backgrounds and different learning formats we're making them to get placed. We fix every block and hurdle to make your career transition simplified.
Our Alumni Working At
