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About the Course:

Artificial intelligence (AI) is the simulation of human intelligence by computers. Machine learning is a branch of AI where algorithms are used to learn from data to make future decisions or predictions.Artificial Intelligence and Machine Learning have become one of the hottest topics in business. An army of startups has been funded to pursue the commercial opportunities, whilst the bosses of big companies increasingly look to implement AI strategies at scale. Some of the key take-away from this training are:

  • You will have a basic understanding of Artificial Intelligence and Machine Learning and the impact of these emerging technologies in the industry.
  • You will be able to define key terminology used in AI space
  • Acquire knowledge of the statistical and heuristic aspects of machine learning
  • Learn about major applications of AI across various fields like customer service, financial services, healthcare etc.
  • Gain practical mastery over principles, algorithms, and applications of machine learning
  • Comprehend theoretical concepts and how they relate to the practical aspects of machine learning

Who should attend?

  • Newbies who are not familiar with AI or its implications
  • Developers aspiring to be a data scientist or machine learning engineer
  • Analytics managers
  • Analytics professionals
  • Business analysts
  • Information architects


    • Course Structure

    Course Objective:

    At the end of the session, the audience would have high level view about

  • Key Analytics Fundamentals - AI Vs Machine Learning Vs Deep Learning
  • Why AI now? AI Venn Diagram and Flowchart
  • Important Stages/Steps in E2E Analytics
  • Case Studies – Telecom/IoT Analytics/Social Media Analytics Framework
  • ML Approach Selection Criteria
  • Machine Learning – Data Processing Challenges
  • Machine Learning Algorithms, Model – Mathematical Space Representation
  • Machine Learning Categories – Supervised/Un-Supervised
  • Python Packages for Machine Learning with hands on lab

    • Entry Profile & Pre-requisite Skill-set

  • Developers and Architects, who wish to write, build and AIML Framework.
  • Java, Python, Linux/Unix knowledge desirable

    • Session 1

    What is Artificial Intelligence?

  • Key Analytics Fundamentals - AI Vs Machine Learning Vs Deep Learning
  • Why AI Now?
  • AI Venn Diagram and History
  • AI Systems Flowcharts
  • Analytics Stages
  • Key Steps in Analytics – Golden Rules to Follow
  • ML Selection Criteria – Is ML Approach Really Required…?
  • Case Study 1- Telecom Analytics Framework
  • Case Study 2 – Sales/Social Media Analytics

    • Session 2

    Machine Learning and Data Science

  • What is Machine Learning and Algorithms..?
  • Machine Learning Algorithms, Model – Mathematical Space Representation
  • ML Data Storage & Processing Challenges
    • Handling Limited Resources
    • Managing Missing Data
    • Detecting Outliers and Anamolies
  • Building ML in Mathematical Space – Key Steps
    • ML Data/Feature Set...Step 1
    • ML Model Building...Step 2
    • ML Model Predictions...Step 3

    • Session 3

    Recap of Sessions 1 and 2

    Practical Session - End to End Example in Python

    • Python Packages
    • Linear Regression
    • Classification
    • SVM

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    DISCLAIMER AND INDEMNITY

    Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event.

    However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary.

    Important Disclaimer:The organizers reserve the right to make substitutions or alterations and/or cancel a speaker(s) if deemed necessary by circumstances beyond its control.

    INDEMNITY: Should for any reason outside the control of UNICOM Training & Seminars (P) ltd (hereafter called UNICOM), the venue or the speakers change, or the event be cancelled due to industrial action, adverse weather conditions, or an act of terrorism, UNICOM will endeavour to reschedule, but the client hereby indemnifies and holds UNICOM harmless from and against any and all costs, damages and expenses, including attorneys fees, which are incurred by the client. The construction validity and performance of this Agreement shall be governed by all aspects by the laws of India to the exclusive jurisdiction of whose court the Parties hereby agree to submit.