Learn Understand and solve complex machine learning problems with programming language skills and become AI experts, explore opportunities for data engineering, AI engineering, Software engineering and a lot more. Get enrolled now, learn anywhere and get an online certification Artificial Intelligence course.

1. Aspire Program
Aspire to be a change

2. learnandbuild.in
learnandbuild.in
Aspire Program | Artificial Intelligence
Who we are
To inspire learners to LEARN and BUILD their
own ideas from scratch after completing
the course. We don't simply want our
students to understand the technologies;
we want them to put their application in
solving real-world problems so that they
can establish product solutions or become
a technology creator.
We are Learn and Build (LnB), a tech learning
vertical by TechieNest Pvt. Ltd. Furthering our
10+ years of strong legacy and training over
200K candidates from 300+ premium
institutions including IIT’s & NIT’s, LnB aims at
making quality technical education accessible to
learners across the country. LnB works as the
cornerstone for budding technocrats and
stepping stone for working professionals,
enabling India with technology creators.

3. learnandbuild.in
Aspire Program | Artificial Intelligence
Aspire is a 100% Job Oriented Course that allows
learners to get an in-depth understanding of
cutting-edge technologies. The course follows a
unique hybrid approach that combines both
instructors led and self paced lectures. This
combination allows learners to practice the
fundamentals by watching recorded lectures as many
times as they desire, while live lectures allow them to
interact with instructors for practical applications,
projects, doubts solving and career guidance.

4. Key Highlights
Instructor-Led Learning
Work on Real World Projects
Inclusive Mentor Assistance
Get Placed in Core Companies
Get Technology Certification
Resume Writing
Soft Skills, Personality Development
Mock Interviews
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learnandbuild.in
Aspire Program | Artificial Intelligence

5. Salient Features
Register For The Course
Entrance Test (Tech+Non Tech)
Tech Content - 200 Hours
Interview Prep Content - 50 Hours
3 Projects/ Industry Use Cases/ Case Studies
Technology- AI | Full Stack | DevOps
Daily Live Class - 2.5 Hours - 6 Days/ Week
Support Over Discord - 24x7
Weekly Assignments
4 Assessments To Trace The Overall Performance
Mock Tests - 10
Industrial Meet-ups/ Sessions - 5
Peer Group Study
Class Recordings/ Notes/ Study Material/ Codes
learnandbuild.in
Aspire Program | Artificial Intelligence

6. Data Analyst
Data Mining & Analysis
Cloud Architect
AI Engineer AI Researcher
Software Engineer
NLP Scientist
Business
Intelligence Developer
Data Scientist
Career Opportunities
Artificial Intelligence
learnandbuild.in
Aspire Program | Artificial Intelligence

7. Key Takeaways
Programming Skills
Neural Network
Architecture
Natural Language
Processing
Cloud Application
Architecture
Query Language
(SQL, Python)
Audio & Video Processing
Computer Vision
• Customer Service
• Media & Entertainment
• Healthcare
• Virtual Assistants
• Manufacturing
• Marketing
Application
Areas
learnandbuild.in
Aspire Program | Artificial Intelligence

8. Curriculum
Introduction
Installation of python and IDE’s
Basic of python
Data Structure
Decision Making
Loops
Functions
Libraries
Packages
File Handelling
Exceptions handelling
Socket Programming
Debugging Python
Oops Concepts
Module 1 : Programming
Data Mining - Search Engine or Popular Website & Web scrapping
Data Handeling/Computation - Numpy, Pandas
Data Visualisation using Matplotlib and Seaborn
Module 2 : Data Science using Python Libraries
Duration – 250 Hours
01. Python
Introduction and installation
Basics : Bar Chart
Time Series, Aggregation and Filters
Maps, Scatterplots and Dashboard
Module 3: Data Analytics using Tools
learnandbuild.in
Aspire Program | Artificial Intelligence

9. Joining, Blending and Relationships, Dual Axis Charts
Table calculations, advance dashboards, storytelling
Advance Data Preparation
Clusters, Custom territories, Design Features
What’s new in tools like Tableau and Power BI?
Conclusion
Need of Linear Algebra
Introduction to vectors (2D, 3D, n-D)
Angle between vectors and Dot Products
Vector and Matrix norms
Introduction to Tensors
Special Matrices and Vectors
Norms and eigen decomposition
Equation of 2-D, 3-D, n-D hyperplanes
Plane passing through origin
Normal to a Plane
Distance of a point from a Plane
Module 4: Machine Learning Mathematics
01. Linear Algebra
Background
Foundations
Distributions
Maximum Likelihood
Bayesian Probability
Information Theory
Classification
02. Probability
learnandbuild.in
Aspire Program | Artificial Intelligence

10. Introduction to Basic Terms
Variables
Random Variables
Population,Sample,Population Mean,
Sample Mean
Population Distribution, Sample Distribution
and Sampling Distribution
Mean, Median ,Mode
Range
Measure Of Dispersion
Covariance
Standard Deviation
Gaussian/Normal Distribution
Probability Density Function
Discrete And Continuous Distribution
Bernoulli And Binomial Distribution
03. Statistics
List of Techniques
PCA
Imputation
Handling Outliers
Binning
Log Transform
One-Hot Encoding
Grouping Operations
Feature Split
Scaling
Extracting Date
Module 5: Machine Learning
01. Feature Engineering
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Aspire Program | Artificial Intelligence

11. Classification (DT, KNN, NB, SVM)
Regression (Linear and Logistic, Lasso, Multivariate, Polynomial)
02. Supervised
Clustering (K-Means, Hierarchal clustering, Anomaly detection)
03. Unsupervised
Q-Learning
04. Reinforcement
Random Forest
XGboost
05. Ensemble Learning
Module 5: Deployment of ML Models
What is Machine Learning Model?
Importance of Deployment of ML Models
How to Deploy it for Product development?
What are APIs?
Python Environment Setup & Flask
Saving the Machine Learning Model: Serialisation & Deserialisation
Creating an API using Flask
Testing API after deployment
Module 7: NLP
Chatbots frameworks - DialogFlow, RASA
Libraries - TextBlob,NLTK
Module 8: Speech Processing
Voice Control - STT, TTS — google speech recognition, amazon lex
learnandbuild.in
Aspire Program | Artificial Intelligence

12. Module 9 : Image Processing
What is an Image?
Colour Spaces
Image Thresholding
Geometric Transformation
Smoothing Images
Morphological Transformations
Image Gradients
Edge Detections
Image pyramids
Contours
Interactive Foreground subtraction
Image Transforms
Template Matching
Hough line, circle transform
Image Segmentation
Image Enhancement
Image Restoration
Camera Calibration
Module 10: Computer Vision
01. Introduction
02. Python Library installation
03. GUI Features
Loading and saving an image,
Getting started with Video
Drawing functions
Mouse as paint
Trackbar as colour palette
learnandbuild.in
Aspire Program | Artificial Intelligence

13. 04. Core Operation
Basic operations
Arithmetic operations
Performance Measurement and Improvement Techniques
Mathematical tools in OpenCV
Texture Analysis
Shape Analysis
Various Filters and Noise Cancelation
05. Pattern Detection
06. Application of CV
Module 11: Deep Learning
Neural Networks and Their visualisation
Deep Learning - ANN, CNN, LSTM
Introduction to Various CNN Architectures: AlexNet, Darkflow, Darknet,
Googlenet, MobileNet_SSD
Deep Learning Frameworks - Tensorflow, Keras
What is a Deep Learning Platform? H2O.ai, CPUs, GPUs, TPUs, Dynamic
vs Static computation graphs
Module 12: Deployment of DL Models
What is Deep Learning Model?
Importance of Deployment of DL Models
How to Deploy it for Product development?
What are APIs?
Python Environment Setup & Flask
Saving the Machine Learning Model: Serialization & Deserialization
Creating an API using Flask
Testing API after deployment
learnandbuild.in
Aspire Program | Artificial Intelligence

14. Module 13: ML/DL/AI frameworks
Cloud Based model training
Hadoop based machine learning frameworks - Spark ML,
Apache Mahout
MLOPS - DataIKU
Module 14: Cloud hosted AI Services
Cloud based ML frameworks - Amazon and Azure
Module 15 : AI - The Super Future
Types of AI - Weak/Near/Narrow, General/Normal, Strong/Super
AI Use cases in various fields
Fuzzy Logic
Module 16 : Production Grade deployment of AI
Flask for model deployment
Database - SQL
Docker Container based deployment of machine learning
Assignments - 30
Assessments - 4
Projects during the course - 15
Capstone projects/case studies - 3
learnandbuild.in
Aspire Program | Artificial Intelligence

15. Attend
technical
sessions
Submit weekly assignments
every saturday
Submit projects
Test your skills through
assessments
Submit project
reports
Get certified
Start
learning
Get placed with
your dream job
We believe in core learning and want
every learner to be a part of this.
Prepare for placements
with likely employers
Attend resume
Writing session
learnandbuild.in
Aspire Program | Artificial Intelligence

16. learnandbuild.in
Aspire Program | Artificial Intelligence
OurHiringPartners
and many more...

17. Your Success is Our Success
learnandbuild.in
Aspire Program | Artificial Intelligence
Hiring Partners Learners
Technologies
Institution Tie-ups Industry Experts
Sessions Delivered
Workshops Masterclasses

18. info@learnandbuild.in
+91 8800882664 | +91 9251094002
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