AI Workshop -
Experience the life of an AI Engineer
(From Basics to Advanced)
Understand the life cycle of an AI Engineer, from how he receives the project and how he/she start with the project and up to the final release of AI Project. Experience every step with practical examples followed by projects to work.
Co-Developed by Senior AI Engineers from INTEL
10000+
Trained learners
40+ Projects
Build your practical skill
Online
Mode of Learning
5Months
Learning Duration + Internship
40+ Projects while learning
Internship on AI for 3.5 Months and get the internship certificate.
Connect with Trainer(One-on-One)
Build one POC(Proof of Concept) from specific industry with complete solution with deployment
We believe in connecting our trainers with students via direct call, whatsapp, linkedin and instagram.
2+ Live Projects Demonstration
Starting from Business Case, Project Charter, Agile, AI Architecture, Software Engineering to final Project release.
EXPERIENCE
THE LIFE
OF AN
AI
ENGINEER
1 Hackathon on AI
Tools Covered
AI Engineer must be flexible with tools and coding.
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Watch his journey as AI Engineer
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.
Q & A Session from Recently Placed Participants:
We're trying all the possible ways to make your career transition more simplified with Q & A Session from recently placed participants, to build great exposure towards real-time interviews and how every learner need to prepare for their program as well as for their interviews. We host Q & A Sessions from different learners who got placed recently.
Q & A Sessions helping every learner to crack their Data Science Interviews or AI Interviews with a more simplified approach.
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 Workshop
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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
- Introduction to basic data structures like list, tuple, set, dict
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Assignment on list, tuple, dict and set -
Working on User-defined functions, conditional statements, Loops -
Escape Sequences, modules, lambda functions
Introduction to Pandas
- Entire Pandas Commands
-
10 Minutes to Pandas -
Data Preparation and cleaning using Pandas -
Linear Algebra using Numpy -
Project work using Pandas and Numpy(Image Applications)
AI Lifecycle: Model Building using Machine Learning & Deployment
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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
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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, XGBoosting, AdaBoosting and deployment of model to production and understanding their metrics in deployed environment.
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
AI Lifecycle: NLP, NLU, NLG - Entire Natural Language Handling
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Natural Language Processing, Natural Langauge Understanding, Natural Language Generator -
Deep Dive into NLP & Text Mining -
Tokenization, Lexical Analysis, Semantic Network, DTM, TFIDF, Coreference Matrix etc -
Word Cloud, Sentiment Analysis -
Word2Vectors, POS Tagging, Phrase Extraction, Topic Modelling, Audio Translation.
AI Lifecycle: Model Building using Deep Learning(Computer Vision)
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Neural Networks
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Convolutional Neural Network Part-I
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Convolutional Neural Networks – II
Statistics for AI Engineer
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What is Data? Data properties? Data patterns? Data Types? Data Trends? -
Sample & Population -
Descriptive vs Predictive vs Prescriptive Analytics -
Exploratory Data Analysis - Beta Binomial Distribution, Normal Distribution, Hyper -geometric distribution
- Skewness & Kurtosis
AI Project Lifecycle: Business Understanding, Data Understanding & Cleaning
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We identify the business problem -
Construct the AI Architecture -
Go with data collection plan -
Data Understanding and report generation -
Analytics and problem identification via visualizations -
Cleaning of the data and final report -
Project Work
Interview Preparation Plan(VIP Members Only)
- How to prepare your resume?
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Interview Recordings of placed participants -
How to prepare for interviews? -
How to speak in interviews? -
Do's and Don'ts in AI Interviews -
How to build your linkedin profile? -
Do's and Don'ts in linkedin profile, naukri profile, dice profile -
How to sell yourself in interviews? -
What an interviewer expects from you? -
Different ways to market your resume -
Interview Demonstration based on above points -
Mock interview
15 Days of one-on-one call consulting(For VIP Members only)
AI Lifecycle: Model Building using Markov Chains
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What is meant by stochastic process? -
Why Markov Chains? Why Hidden Markov Chains? -
Markov Process and Transition Matrix -
Why integrations with Markov Chains? -
Advanced time series using Markov Chains -
Project work using Advanced time series using Markov Chains
AI Lifecycle: Model Building using Reinforcement Learning
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Reinforcement Learning using Q-Learning
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Frozen Lake
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Project on Reinforcement Learning
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Heuristic Learning for Advanced Automation
Oct 17th, 2020 - Nov 28th, 2020 @7.30PM - 10 PM(IST)
"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
Most frequently asked questions:
AI Workshop, Is it for beginners?
Why choose this AI Workshop?
Why low price?
Our goal with AI workshop is to create awareness for every learner on the right things to learn rather than wasting their time and money on wrong courses and wrong content. To make their AI Job more achievable inlines of what companies are expecting.
Why internship?
Companies are looking for experienced professionals over learners with certificates on AI. So, to make every learner eligible for job-ready we attached with an internship.
Do I get support after AI Workshop?
Do I get the recordings?
Do I get any resume building assistance?