Join the AI Specialization Program

Artificial Intelligence & Deep Learning
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A structured, practical intensive & guided learning program

Structured

Structured

Roubstly designed program focusing on systematic learning

Hands On

Hands-on

10+ mini projects

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Industry-relevant

Verified by industry to make you industry ready

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Focused

Agile environment with a focus on every learner



The curriculum to make you a champion in AI and Deep Learning

AI Engineering & Deep Learning
1

Machine Learning

8 Weeks
  • Supervised Learning - Linear Models - Linear and Logistic Regressions & Classifiers, Support Vector Machines
  • Supervised Learning - Desision Trees, Bagging & Boosting, XG Boost
  • Unsupervised Learning - Different clusturing algorithms, Pincipal Components Analysis
  • Introduction to Neural Networks and deep learning
2

Combinatorial Optimization Technicues

2 Weeks
  • Dynamic Programming
  • Uniform Cost Search
  • A* and constrained optimization
  • Genetic Algorithms
3

Markov Decisions and Game Playing

2 Weeks
  • Value Iteration
  • Reinforcement Learning
  • Min Max, Alpha Beta Pruning
  • TD Learning, Game Theory
4

Factor Graphs and Bayesian Networks

2 Weeks
  • Factor Graphs - Conditional Satisfaction and Independence
  • Beyesian Networks - Inference and Maximum Likelyhood
5

Knowledge Representation

2 Weeks
  • Prepositional Logic
  • First Order Logic
  • Knowledge Representation in Prolog
6

Deep Learning

6 Weeks
  • Feed Forward Neural Network, Backpropogation, Information Content, Entropy and Cross Entropy
  • Different gradient based learning algorithms
  • Singular Value Decomposition, Autoecoders
  • Bias and Variance, Train & Test Error, True error & model complexity, parameter shairning, Early Stoping, Ensembling, Dropouts
  • Unsupervised pre training, better activation functions, batch normalization,
7

Natural Language Processing

6 Weeks
  • One Hot & distributed representations & SVD
  • Continious Bag of words, Skip Gram
  • Contrastive estimation, Hierarchical Softmax & Glove
  • Evaluation of word representation, relation between SVD & word2vec
  • Sequence Learning Problems
  • Recurrent Neural Networks and backpropogation through time
  • Exploding and Vanishing Gradients
  • LSTMs, Bert & GPT
Programming & CS Fundamentals

Build a strong fundation in CS/IT Engineering

Learn to solve complex coding problems and become a top rated programmer

Problem Solving and Algorithm Design is the core area of computer science and is an essential skill required to build a successful career in computer science.

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EXPERT MENTORS - MAKING YOU INDUSTRY READY

Career Transformed so far

100+ firms in Network and Growing

About Coden Technology Learning

Education and research at Coden Technology Learning are undertaken with the aim to build AI driven technologies for social good.

The institute is thus committed to the development of technology that can be applied to diverse areas such as healthcare, security, finance, retail, and consumer analytics etc.

CTL embraces multidisciplinary approach including statistics, data science, information theory, software engineering, classical AI, algorithm design and product development these. Disciplines are relevant both for understanding complex systems and developing next gen technologies.

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Graduate computer science engineerings

Our Mission

Building excellence engineers for building engineering excellence

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