Management Guru INR 50,000+GST


ExcelR's Management Guru

In the current competitive IT arena it's evident that current technologies may not be relevant for a longstanding career. It's high time that IT professionals should cross skill and upskill on the trending technologies and management skills. To embark the management ladder and a to ensure sustaining lucrative career , cross skilling is the need of the hour. To support this cause ExcelR announces "Management Guru Program" exclusively for ExcelR's Alumni (past participants who already enrolled for ExcelR's program) as a token of appreciation and gratitude for choosing ExcelR as their training partner.

As part of ExcelR's Management Guru Program, our alumni can pursue all the 6 courses listed in the bundle pack or any course of their choice within one year from the date of enrollment for this program. This program includes courses like Project Management Professional (PMI PMP), Artificial Intelligence (AI), Six Sigma Greenbelt, Amazon Web Services (AWS), Digital Marketing, Agile Certified Practitioner (PMI ACP).

The cost of the courses if taken separately or if you are not an existing customer of ExcelR would cost Rs.2,00,000+ 18% GST. As part of this program, the entire gamut of courses is given for Rs.50,000+18% GST

   ExcelRs Management Guru


  •  What is PMP® & PMI® 
  •  Introduction PMBOK® Guide (Project Management Body of Knowledge)
  •  PMP® Exam Syllabus
  •  PMP® Exam Format
  •  PMP® Exam Syllabus
  •  Introduction to Project Case Study
  •  Introduction to Project Management Templates
  •  What is a Project?
  •  What is Project Management? 
  •  What is Program Management?
  •  What is Portfolio Management? 
  •  Project Management Office
  •  Project Constraints
  •  Stakeholder Management
  •  Organization Structure 
  •  Project Lifecycle vs Product Lifecycle
  •  Organizational Process Assets
  •  Enterprise Environmental Factors 
  •  Mock Test
  •  Common Project Management Process Interactions 
  •  Project Management Process Groups
  •  Initiating Process Group
  •  Planning Process Group
  •  Executing Process Group 
  •  Monitoring and Controlling Process Group
  •  Closing Process Group 
  •  Role of the Knowledge Areas
  •  Mock Test
  •  What is Project Integration Management? 
  •  The Key role of the Project Manager Project Team and Project Sponsor
  •  Project Selection Methods
  •  Develop Project Charter 
  •  Develop Project Management Plan
  •  Direct and Manage Project Execution 
  •  Manage Project Knowledge 
  •  Monitor & Control Project Work
  •  Perform Integrated Change control 
  •  Close Project or Phase
  •  Mock Test
  •  What is Project Scope Management?
  •  Plan Scope Management
  •  Collect Requirements
  •  Define Scope
  •  Create WBS
  •  Validate Scope
  •  Control Scope
  •  Mock Test
  •  What is Project Schedule Management?
  •  Plan Schedule Management
  •  Define Activities
  •  Sequence Activities
  •  Estimate Activity Duration
  •  Develop Schedule
  •  Control Schedule
  •  Mock Test
  •  What is Project Cost Management?
  •  Plan Cost Management
  •  Estimate Costs
  •  Determine Budget
  •  Control Costs
    • Earned Value Management
  •  Project Selection Methods
  •  Mock Test
  •  What is Quality?
  •  What is Quality Management?
  •  Cost of Quality
  •  Introduction to Quality Tools
  •  Plan Quality Management
  •  Manage Quality
  •  Control Quality
  •  Mock Test
  •  What is Resource Management?
  •  Motivational Theories
  •  Plan Resource Management
  •  Estimate Activity Resources
  •  Acquire Resources
  •  Develop Team
  •  Manage Team
  •  Control Resources
  •  Mock Test
  •  What is Communication?
  •  Communication Methods Technology & Channels
  •  Basic Communication Model
  •  Plan Communications Management
  •  Manage Communications
  •  Monitor Communications
  •  Mock Test
  •  What is Risk?
  •  Plan Risk Management
  •  Identify Risks
  •  Perform Qualitative Risk Analysis
  •  Perform Quantitative Risk Analysis
  •  Plan Risk Responses
  •  Implement Risk Responses
  •  Monitor Risks
  •  Mock Test
  •  What is a Contract?
  •  Types of Contracts?
  •  Plan Procurement Management
  •  Conduct Procurements
  •  Control Procurements
  •  Mock Test
  •  Identify Stakeholders
  •  Plan Stakeholder Engagement
  •  Manage Stakeholder Engagement
  •  Monitor Stakeholder Engagement
  •  Mock Test
  •  Do’s and Don’ts in the Examination
  •  Important topics to focus for the Examination preparation
  •  Formulas to know for the Exam
  •  Tricks for taking the PMP Exam
  •  Common errors and pitfalls
  •  Professional and Social Responsibility


  • What is SIX SIGMA
  • About SIX SIGMA Exam and Pre-requisites
  • Enterprise-wide view
  • Leadership
  • Overview of Six Sigma
  • Overview of DMAIC Methodology
  • Impact on stakeholders
  • Critical to x (CTx) requirements C -Benchmarking
  • Business performance measures E -Financial measures
  • Team formation
  • Team facilitation
  • Team dynamics
  • Time management for teams E -Team decision-making tools
  • Management and planning tools
  • Team performance evaluation and reward
  • Voice of the customer
  • Project charter
  • Project tracking
  • Process characteristics
  • Data collection
  • Measurement systems
  • Basic statistics
  • Probability
  • Process capability
  • Measuring and modeling relationships between variables
  • Hypothesis testing
  • Failure mode and effects analysis (FMEA)
  • Additional analysis methods
  • Design of experiments (DOE)
  • Waste elimination
  • Cycle-time reduction
  • Kaizen and kaizen blitz
  • Theory of constraints (TOC)
  • Implementation
  • Risk analysis and mitigation
  • Statistical process control (SPC)
  • Other control tools
  • Maintain controls
  • Sustain improvements
  • Common DFSS methodologies
  • Design for X (DFX)
  • Robust design and process
  • Special design tools
  • Linkages of Six Sigma to CMMI

Artificial Intelligence (AI)

Description: Understand what is Artificial Intelligence and Deep Learning. Understand about the various job opportunities for AI and DL. You will learn about the most important Python libraries for building AI applications. These MUST KNOW Python libraries for Deep Learning are being upgraded on an extremely rapid pace and keeping abreast of the changes is pivotal for the success of AI experts.


  • Introduction to Artificial Intelligence and Deep Learning
  • Applications of AI in various industries
  • Introduction to the installation of Anaconda
  • Creating of Environment with stable Python version
  • Introduction to TensorFlow, Keras, OpenCV, Caffe, Theano
  • Installation of required libraries

Description: Understand about the various mathematical concepts which are important to learn AI implementations. These concepts will help to understand Deep Learning concepts in detail. It will also serve as a refresher for learning various Neural Network algorithms, which are synonymous to Deep Learning.


  • Introduction to Data Optimization
  • Calculus and Derivatives Primer
  • Finding Maxima and Minima using Derivatives in Data Optimization
  • Data Optimization in Minimizing errors in Linear Regression
  • Gradient Descent Optimization
  • Linear Algebra Primer
  • Probability Primer

Description: Understand about the basics of the first algorithm – Perceptron Algorithm, its drawbacks and how we can overcome those challenges using Artificial Neural Network or Multilayer Perceptron Algorithm. The various activation functions will be understood in detail and practical exposure to Python programming is the highlight of this module.


  • Understand the history of Neural Networks
  • Learn about Perceptron algorithm
  • Understand about Backpropagation Algorithm to update weight
  • Drawbacks of Perceptron Algorithm
  • Introduction to Artificial Neural Networks or Multilayer Perceptron
  • Manual calculation of updating weights of final layer and hidden layers in MLP
  • Understanding of various Activation Functions
  • R code and Python code to understand about practical model building using MNIST dataset

Description: Learn about the various Error functions, which are also called Cost functions or Loss functions. Also, understand about the entropy and its use in measuring error. Understand the various optimization techniques, drawbacks and ways to overcome the same. This you will learn alongside various terms in implementing neural networks.


  • Understand about challenges in Gradient
  • Introduction to various Error, Cost, Loss functions
  • ME, MAD, MSE, RMSE, MPE, MAPE, Entropy, Cross Entropy
  • Vanishing / Exploding Gradient
  • Learning Rate (Eta), Decay Parameter, Iteration, Epoch
  • Variants of Gradient Descent
    • Batch Gradient Descent (BGD)
    • Stochastic Gradient Descent (SGD)
    • Mini-batch Stochastic Gradient Descent (Mini-batch SGD)
  • Techniques to overcome challenges of Mini-batch SGD
    • Momentum
    • Nesterov Momentum
    • Adagrad (Adaptive Gradient Learning)
    • Adadelta (Adaptive Delta)
    • RMSProp (Root Mean Squared Propagated)
    • Adam (Adaptive Moment Estimation)

Description: Learn about practical applications of MLP when output variable is continuous and discrete in two categories and multi-category. Understand also about handling balanced vs imbalanced datasets. Learn about techniques to avoid overfitting and various weight initialization techniques.


  • Binary classification problem using MLP on IMDB dataset
  • Multi-class classification problem using MLP on Reuters dataset
  • Regression problem using MLP on Boston Housing dataset
  • Types of Machine Learning outcomes – Self-supervised, Reinforcement Learning, etc.
  • Handling imbalanced datasets and avoiding overfitting and underfitting
  • Simple hold-out validation
    • K-Fold validation
    • Iterated K-fold validation with shuffling
    • Adding weight regularization
      • L1 regularization
      • L2 regularization
    • Drop Out and Drop Connect
    • Early Stopping
    • Adding Noise – Data Noise, Label Noise, Gradient Noise
    • Batch Normalization
    • Data Augmentation
  • Weight initialization techniques
    • Xavier, Glorot, Caffe, He

Description: Though CNN has replaced most of the computer vision and image processing concepts, a few application require the knowledge of Computer vision. We will learn about the application using the defacto library OpenCV for image processing. How to build machine learning models when we have limited data is explained as part of this module.


  • Understanding about Computer Vision related applications
  • Various challenges in handling Images and Videos
  • Images to Pixel using Gray Scale and Color images
  • Color Spaces – RGB, YUV, HSV
  • Image Transformations – Affine, Projective, Image Warping
  • Image Operations – Point, Local, Global
  • Image Translation, Rotation, Scaling
  • Image Filtering – Linear Filtering, Non-Linear Filtering, Sharpening Filters
  • Smoothing / Blurring Filters – Mean / Average Filters, Gaussian Filters
  • Embossing, Erosion, Dilation
  • Convolution vs Cross-correlation
  • Boundary Effects, Padding – Zero, Wrap, Clamp, Mirror
  • Template Matching and Orientation of image
  • Edge Detection Filters – Sobel, Laplacian, LoG (Laplacian of Gaussian)
  • Bilateral Filters
  • Canny Edge Detector, Non-maximum Suppression, Hysteresis Thresholding
  • Image Sampling – Sub-sampling, Down-sampling
  • Aliasing, Nyquist rate, Image pyramid
  • Image Up-sampling, Interpolation – Linear, Bilinear, Cubic
  • Detecting Face and eyes in the Video
  • Identifying the interest points, key points
  • Identifying corner points using Harris and Shi-Tomasi Corner Detector
  • Interest point detector algorithms
    • Scale-invariant feature transform (SIFT)
    • Speeded-up robust features (SURF)
    • Features from accelerated segment test (FAST)
    • Binary robust independent elementary features (BRIEF)
    • Oriented FAST and Rotated Brief (ORB)
  • Reducing the size of images using Seam Carving
  • Contour Analysis, Shape Matching and Image segmentation
  • Object Tracking, Object Recognition

Description: Understand about the various layers of CNN and understand how to build the CNN model from scratch as well as how to leverage upon the CNN model which is pre-trained. Understand about the best practices in building CNN algorithm and variants of convolution neural network.


  • Understand about various Image related applications
  • Understanding about Convolution Layer and Max-Pooling
  • Practical application when we have small data
  • Building the Convolution Network
  • Pre-processing the data and Performing Data Augmentation
  • Using pre-trained ConvNet models rather than building from scratch
  • Feature Extraction with and without Data Augmentation
  • How to Visualize the outputs of the various Hidden Layers
  • How to Visualize the activation layer outputs and heatmaps

Description: Understand about how to deal with sequence data including textual data as well as time series data and audio processing. Understand about advanced RNN variant models including LSTM algorithm and GRU algorithm. Also learn about bidirectional RNN, LSTM and deep bidirectional RNN and LSTM. Learn about various unstructured textual pre-processing techniques.


  • Understand about textual data
  • Pre-processing data using words and characters
  • Perform word embeddings by incorporating the embedding layer
  • How to use pre-trained word embeddings
  • Introduction to RNNs – Recurrent layers
  • Understanding LSTM and GRU networks and associated layers
  • Hands-on use case using RNN, LSTM, and GRU
  • Recurrent dropout, Stacking recurrent layers, Bidirectional recurrent layers
  • Solving forecasting problem using RNN
  • Processing sequential data using ConvNets rather than RNN (1D CNN)
  • Building models by combining CNN and RNN

Description: Understand about unsupervised learning algorithm such as GAN as well as Autoencoders. GANs are used extensively in artificially generating speech, images which can be used in computer games. Deep Dream is such an algorithm which using GAN to generate images. Autoencoders will take input as an image and traverse through the network and then regenerates the same image. Learn about how these intermediate layer representations can be used in other neural network deep learning models.


  • Text generation using LSTM and generative recurrent networks
  • Understanding about DeepDream algorithm
  • Image generation using variational autoencoders
  • GANs theory and practical models
  • The Generator, the Discriminator, the Adversarial network
  • Deep Convolution Generative Adversarial networks
  • Producing audio using GAN
  • Unsupervised learning using Autoencoders

Description: Reinforcement learning is majorly used in AI-based games. Q-learning is one such Reinforcement machine learning algorithm which is using in game theory. Finally, any of the ongoing Kaggle competition will be the prime focus and to be in the top 100 will be of prime importance. This will bring optimal visibility of the profiles to the employers and participants can be directly hired.


  • Q-learning
  • Exploration and Exploitation
  • Experience Replay
  • Model Ensembling
  • Final project using a live Kaggle competition


  • IT Service Management in the modern world
  • About ITIL 4
  • Value
  • Value co-creation
  • Service providers
  • Service consumers
  • Other stakeholders
  • Products
  • Services
  • IT Service provider models and IT Governance
  • Service offerings
  • Service relationship
  • Utility and Warranty
  • Organizations and people
  • Information and technology
  • Partners and suppliers
  • Value streams and processes
  • External Factors
  • Service value system an overview
  • Opportunity, demand and value
  • Focus on Value
  • Start where you are
  • Progress iteratively with feedback
  • Collaborate and promote visibility
  • Think and work holistically
  • Keep it simple and practical
  • Optimize and automate
  • Governing bodies and governance
  • Governance in SVS
  • Plan
  • Improve
  • Engage
  • Obtain/build
  • Deliver and support
  • Steps of the continual improvement model
  • Continual improvement and the guiding principles
  • Information security management
  • Relationship management
  • Supplier management
  • Availability management
  • Capacity and performance management
  • Change control
  • Incident management
  • IT asset management
  • Service configurations management
  • Monitoring and event management
  • Release management
  • Deploy management
  • Service continuity management
  • Service desk
  • Service level management
  • Service request management
  • Format : 40 Multiple choice questions
  • Duration : 60 minutes


  • Agile Manifesto and Principles
  • Project Charter for Agile Project
  • Agile Methodology
  • Agile Principles
  • Agile Frameworks and Terminology 
  • Team Space
  • Information Radiator 
  • Agile Tooling
  • Daily Stand-ups
  • Osmotic Communication 
  • Iteration and Release Planning
  • Progressive Elaboration
  • Time Boxing
  • Cumulative Flow Diagram
  • Kanban Boards 
  • WIP Limits
  • Burn Charts  
  • Retrospectives
  • Innovation Games 
  • Relative Sizing 
  • Story Points
  • Wideband Delphi Technique
  • Planning Poker 
  • Affinity Diagram
  • Ideal time
  • Velocity
  • Cycle Time 
  • EVM
  • Escaped Defects
  • Product Roadmap
  • Backlog 
  • Story Maps
  • Agile Modeling
  • Wireframes
  • Charting
  • Personas
  • Agile Modeling
  • Charting
  • Wireframes
  • Personas
  • Frequent Verification and Validation–
  • Test Driven Development
  • Definition of Done
  • Continues Integration
  • Feedback Techniques
  • Incremental Delivery
  • Continuous Improvement
  • Customer Valued Prioritization
  • Compliance
  • Relative Prioritization
  • Value Stream Mapping
  • Minimum Marketable Feature
  • Motivational Theories
  • What is Human Resource Management?
  • Plan Human Resource Management
  • Acquire Project Team
  • Develop Project Team
  • Manage Project Team
  • Mock Test
  • Risk Adjusted backlog
  • Risk Burn down charts
  • Risk based spike
  • Vendor Management
  • Failure Mode analysis
  • Level 1, Level 2, Level 3
  • Certification Overview
  • Exam Preparation Tips
  • Discussion or Recommended Books

Digital Marketing

  • What is Domain and Types
    • TLD, SLD, TLD Domain
    • Domain Registration
    • What is Web Hosting Server
    • Windows Server
    • Linux Server
  • What is Digital Marketing?
  • How is it different from Traditional Marketing?
  • ROI between Digital and Traditional Marketing?
  • Discussion on E-Commerce
  • Discussion on new trends and current scenario of the world?
  • Setting up a vision, mission, and goals of Digital Marketing
  • DNS Server
  • What is Website?
  • Dynamic, Static Websites
  • Domain and Hosting registration
  • Linking your domain to the Hosting
  • Creating a Wordpress website
  • Managing a Wordpress website.
  • Free website creation
  • Free webmails Creation up to 5
  • Free database Creation
  • Understanding the organizational structure
  • Operations within the organization
  • Importance of understanding the business operations
  • Importance of Digital Marketing for a business
  • What is Search Engine Optimization?
  • History of Search engines?
  • How is SEO important in Digital Marketing?
  • How is search engine important for companies?
  • How can search engine impact the brand and sales of a company?
  • How does search engine algorithm work?
  • Components of a search engine?
  • Different types of search engines?
  • Operators used in search engine
  • Algorithms used in SEO
  • Updates of SEO
  • Site Structure Analysis
  • Competitive and Exact Title Creation
  • Meta Keywords Creation
  • Meta Tag Optimization as per Keyword Research
  • Perfect navigation as per the theme
  • Breadcrumb Optimization
  • Checking Broken Links
  • Creating Sitemaps (HTML, XML, ROR, Text Sitemap) 
  • Usage of Robots.txt in order assist crawler
  • Robots.txt File Creation and validation
  • Internal navigation
  • Content Optimization as per Keyword Density, Proximity, Prominence
  • 301 redirection for canonicalization problem
  • Content Negotiation and Modification
  • Regular Updation of the Sitemaps
  • Create Custom Error 404 Page Optimization
  • Heading Hierarchy (1H1, 2H2, 4H3,8H4 ..) 
  • Image Optimization, Using Alt
  • Google Analytics Account Set
  • Create and Manage Google Webmaster Tool
  • What is Link Building
  • One Way link building
  • Two Way or Reciprocal link
  • Link Wheel Building
  • White Hat Link Building
  • Black Hat Link Building
  • Grey Hat Link Building
  • Google Panda Algorithms
  • Google Penguin Algorithms
  • Google Page Rank Algorithms
  • Google Hummingbird Algorithms
  • Page layout Algorithms
  • Search Engine submission
  • Directory submissions
  • Dmoz Listing
  • Forum Creation / submissions
  • Blogs Creation, Posting and Commenting
  • Blog Post Message Creation and Submission
  • Articles Creation, Distribution and Commenting
  • Press Release Creation and Distribution
  • Newsletter posting and News Syndication
  • Forums Posting and Comments
  • Favicons Creation
  • B2B Posting
  • Driving traffic through dedicated Social Networking
  • Facebook Marketing (Fan Pages and Profiles) 
  • Twitter Marketing
  • Social Bookmarking Strategy and Implementation
  • Podcasting: Audio and Video Optimization
  • Promoting Subsequent pages of the Website
  • Google Site Map Submission
  • Yahoo Site Map Submission
  • Social Bookmarking SBM
  • Social Networking
  • Classified Ad Creation and Submission
  • Posting in other Content Network
  • Blog Creation and Commenting
  • RSS Feed Creation and Validation
  • Link Building
  • Link Popularity Monitoring and Reporting
  • Listed on Google/Yahoo Local Business Center
  • Wikki Submission.
  • Introduction to Online Marketing
  • Types of Online Marketing 
  • Introduction to Social Media 

Facebook Marketing 

  • Facebook Marketing introduction
  • Advantages of Facebook Marketing
    • What is Open Graph
    • Local business page creation
    • Fan page creation
    • Brand page creation
    • Organization page creation
    • Adding own logos and banners in facebook
    • How to promote your Facebook page
  • Introduction to FBML
  • Advantages to FBML
  • Facebook optimization techniques
    • Creating a Facebook Application 
  • Linking with YouTube
  • Creating Events in Facebook
    • Do's and Don'ts in Facebook
    • Facebook credits
    • Facebook Connect (Like, Share, Comment) 
    •  Increase Facebook likes

Twitter marketing

  • What is Twitter
  • Why we use Twitter
    • witter Demographics
    • How to Setup a Twitter account
  • What is Twitter Lingo
    • What is Tweet for pay
  • Twitter Account Promotion
    • Tweeting (Responding to others, RT, HashTags, Direct Messages) 
  • What is Twitiquette
    • Why use Short URL in Twitter

Google Plus Marketing

  • What is Google Plus 
    • Google Plus Features
    • Google Plus: Circles, Hangouts, Stream
  • Integration with your site
    • Promoting a Brand on Google+
    • Google Plus for Businesses
  • Google Plus Tools and Techniques

LinkedIn Marketing

  • What is LinkedIn
  • LinkedIn advantages
  • LinkedIn Groups
    • LinkedIn events, messaging
  • Creating the right profile and settings
  • How to do link building in LinkedIn
    • Linkedin Company Pages

Social Networking Sites

  • Digg
  • Delicious
  • StumbleUpon
    • Reddit
    • Fave It
    • E-buzz

Web 2.0 Backlinks Building

  • Blinkweb
    • Clammo
    • Adding Titles to blogs
  • Adding Keywords to blogs
  • Adding Description to blogs
    • Building Backlinks from blogs
  • Promoting Blogs ways

Content sharing 

  • Ezine articles approved
    • Squidoo Lens Creation
    • Hubpages Creation
    • Slideshare
  • Scribd

Photo and Slides Sharing

  • Flickr
  • TinyPic
  • Slide Roll
  • Facebook Marketing (paid)
  • Twitter Marketing (paid)
  • LinkedIn Marketing (paid)
  • YouTube Channel Creation
  • YouTube Video Optimization
  • Video SEO
  • Increase YouTube views, Subscribers
  • YouTube Ads
  • Dailymotion
  • Vimeo Videos
  • Metacafe
  • Google Videos

1. Introduction to Google Ads

2. Types of Google Ads

  • Text Ads - Search Network
    • Keyword
    • Brand
    • Remarketing Text Ads - RLSA
  • Google Display Network
    • Image / Display Ads
    • Text Ads
    • Remarketing Ads
  • Video / YouTube Ads
    • Pre-roll ads (Video ads)
    • Image Ads
    • Remarketing image ads
    • Remarketing Video ads
  • Shopping Ads
    • Search network
    • YouTube ads
  • G-mail sponsored promotions (GSP)
    • Gmail ads

3. Ad extensions

  • Callout Extensions
  • Sitelink extensions
  • Structured Snippets
  • Call extensions
  • Price extensions etc.,

4. Ad groups and ads setup

5. Type of Ads

  • Expanded text ads
  • Ads examples
  • Google ads responsive display ads
  • Google auto ads suggestions - turn this off

6. Adwords Editor tool explained

  • Editor overview
  • How to setup campaign
  • Ad groups & keywords setup
  • Single keyword targeting (SKAG's)
  • How to setup a campaing from Excel
  • How to add different match type keywords in SKAG's
  • How to get and post your campaign
  • How to make multiple changes by copy / paste

7. Budget

  • Increase conversions by optimising budget

8. Call Ads

  • Call only ads

9. Campaign setup

  • Campaign setup
  • Location bids

10. Conversions & goals

  • What are goals and conversions
  • The only 3 google ads metrics you should focus on
  • Front end and backend profits
  • How to see your conversions in google ads
  • How to setup converison tracking code
  • Conversions vs All conversions
  • Call conversions

11. Google Analytics

  • How to link google analytics to Google Ads
  • Google Analytics Goals

12. Google Display Networks - GDN

  • GDN explained
  • Google display network campaign setup
  • How to save money on GDN
  • Google display network targeting options

13. Gmail Ads

  • Introduction
  • Gmail metrics
  • 8 Gmail targeting methods
  • How to setup gmail ads campaign
  • How to setup gmail ads adgroup
  • How to create gmail video ads
  • How to create gmail image ads
  • Targeting: customer match audiences
  • Targeting: affinity audiences
  • Targeting: In market audineces
  • 8 ways to optimise gmail ads

14. Keywords

  • Exact Macth keywords
  • Phrase Match keywords
  • Negative Keywords

15. Quality Score

  • Qulaity score is an estimate of the quality of your ad, keyword and landing page
    • 10 - discounted by 50%
  • Higher quality score can lead to lower prices and better positions
    • 9 - discounted by 44%
  • each keyword has quality score
    • 8 - discounted by 37%
  • QS is calculated on a 1-10 scale
    • 7 - discounted by 28%
  • Its components are expected click through rate, ad relevance & landing page
    • 6 - discounted by 16%
    • 5 Google Benchmark
    • 4 - increased by 25%
    • 3 - increased by 67%
    • 2 - increased by 150%
    • 1 - increased by 400%
  • How do i see my quality score
  • How google calculate your Cost Per Click
    • Your price = the adrank of the advertiser below you / Your Quality Score + 0.78 rs
  • How to do keyword research
  • Use negative keywords to increase profitability
    • Singular & Plural
    • Research
    • Use tool
    • Create negative keyword list
    • Match types
    • [exact]
    • "phrase"
    • broad match
    • Search Query report
    • Use negative keywords for both search & display campaigns
    • Audit your negative keywords regularly
    • GDN use broad match negatives only
    • YouTube use placements or keywords
    • Voice searches - use negaitve in 1st 10 words

16. Labels

  • How to create labels
  • How to apply & filter labels

17. Google ads landing page best practices

  • Top 6 tips to otimize your landing page
  • Offer - clearly state your offer.
  • Benefits & Features
  • Simple layout - No navigation bar - hosted in subdomain
  • Strong Call to action - call you / download / watch a video / PDF / Buy
  • Forms - keep it very short
  • Video

18. Landing page case study

19. How to improve landing page experience

  • Offer relevant and original content
  • Be fully transperant & trustworthieness on your site
  • Make your website secure with SSL
  • Make navigation easy
  • Decrease your landinga page loading time

20. How to calculate max. cost per aquisation

21. 5 deadly google ads mistakes to avoid

  • How to craete custom columns
  • Adwords preview & diagnosis tool
  • Google Ads click fraud
  • Google Ads Reporting
  • Optimization workflow
    • Locations
    • Ad schedule
    • Ad schedule advanced
    • Devices
    • Improve Click through Rate - CTR
    • Negative keywords
    • Search term reports

22. Remarketing

  • How to ceate YouTube remarketing lists in Google Ads

23. YouTube Video Ads

  • Introduction
  • How to grow your business with YouTube video ads
  • Setup YouTube Account
  • Setup Google Ads
  • Link Google ads to YouTube
  • Link Google Analytics
  • Setup conversion tracking code
  • Setup video remarketing list
  • Setup Google ads remarketing tag
  • Setup your 1st Video campaign
  • Setup ad group & Targeting
  • Creating ads
  • Targeting options
    • Targeting: Affinity audiences
    • Targeting: custom affinity audiences
    • Targeting: In-market audiences
    • Targeting: Life events
    • Targeting: Remarekting
    • Targeting: Upload Linkedin lists
    • Targeting: Placements
    • Targeting: Negative placements
    • Targeting: Topics
    • Targeting: Topic+Kewyords
    • Campaign results
    • Campaign optimisation
    • Analyse Data using Excel
    • Google Data Studio

24. How to setup your sales funnel

25. My Client Center - MCC

26. List Of 10,000+ Junk & Spammy URLs To Stop Wasting Your Budget On GDN

27. Google Ads Live Project

  • Navigate Google Analytics with ease
  • Using Analytics as a part of SEO / SEM strategies
  • Analyzing website traffic and content reports
  • Setting up of goals, event and tracking campaigns
  • Google Analytics Certification Guidance
  • Introduction
    • When Social Media goes bad! 
    • The cost of a bad reputation
  • Establish a Foundation
    • Protect your position  Register Twitter, URLs, etc
    • How to establish a Social Media company policy
    • The socialisation of business: Public relations to human relations
  • Listen
    • Free social media monitoring tools
    • Search
    • Paid for social media solutions
    • What to do with the data
  • Respond
    • Dealing with complaints
    • What to do with praise 
    • Evangelist
    • Crisis Q&A
    • Complaint escalation plan
  • Engage
    • Enhancing reputation online
    • Be seen to listen
    • Ask customers for feedback
    • Build your customers into your R&D
  • How Email Marketing works?
  • Types of mails
  • What to write
  • How to write
  • When to send
  • Tools used in Email Marketing
  • How to measure
  • List creation
  • List Management
  • Auto responders
  • Email Marketing report generation and its Metrics
  • What is Mobile SEO?
  • How to create a mobile site?
  • Google Mobile
  • Mobile Sitemap
  • Search criteria for different smartphones
  • Onsite Optimization Basics for moile
  • Website Structure and Navigation in mobile
  • Creating Filenames in Site
  • Title Tag Optimization
  • Meta Tags Optimization
  • Copywriting and SEO Copywriting
  • Header Optimization
  • Anchor Links Optimization
  • Snippets Creation for mobile
  • Basics in ASO
  • Important factors to get on top of the search list in play store and App Store
  • Content optimization for App
  • Importance of title tags in ASO
  • Load time

1. Softwares / Plugins
2. Keyword Finders
3. Search Ranking Softwares
4. Content Spinners
5. Plagiarism Checkers
6. Authority Checkers
7. Rank Checkers
8. SEO Optimization Plugins - QK

1. Google Search Console (Webmaster)
2. A Key to SEO Training and Success
3. How to Rank your Website in Specific Country
4. Resolving Website Errors
5. Geo-Targeting
6. 301 Redirection
7. Domain Optimization
8. Spam Control
9. Site Links Control
10. Awesome tool to Check Incoming Links
11. Malware Check

1. SEO For Local Business
2. How to rank a website in local searches
3. Get Ranking on Local Keywords
4. Verification and Installation Process
5. How to Increase STAR Rankings
6. Yellow Pages Creation

  • Google Ads - Fundamentals
    • Search Ads
    • Display Ads
    • Shopping Ads
    • Video Ads
  • App Install Ads
  • Facebook Blueprint Certification
  • Analytics Certification
  • Course Certification

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Global Presence

ExcelR is a training and consulting firm with its global headquarters in Houston, Texas, USA. Alongside to catering to the tailored needs of students, professionals, corporates and educational institutions across multiple locations, ExcelR opened its offices in multiple strategic locations such as Australia, Malaysia for the ASEAN market, Canada, UK, Romania taking into account the Eastern Europe and South Africa. In addition to these offices, ExcelR believes in building and nurturing future entrepreneurs through its Franchise verticals and hence has awarded in excess of 30 franchises across the globe. This ensures that our quality education and related services reach out to all corners of the world. Furthermore, this resonates with our global strategy of catering to the needs of bridging the gap between the industry and academia globally.

ExcelR's Global Presence



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