
Welcome to AI Powered Digital Marketing Course. In this course you are going to learn about different modules in AI and its application in Digital Marketing. Different AI applications like Recommendation systems, Churn Prediction, Sentiment analysis, Chatbots. Machine learning based marketing tools.
Ai based content marketing tools, copy writing tools and basic understanding of AI algorithms and its applications in Digital Marketing
Explore the three major AI modules—machine learning, deep learning, and natural language processing—and learn how they power predictive analytics, stock market predictions, and language translation in digital marketing.
Discover how ai-powered digital marketing drives revenue growth across industries, with marketing and sales, and supply chain management and manufacturing leading the landscape, totaling nearly five trillion dollars.
Explore how on-site and off-site recommendation systems collect user history, purchase data, location, and similar-user signals to tailor recommendations across emails and social platforms.
Explore how recommendation systems boost revenue and engagement across e-commerce, e-learning, and media platforms, with marketer tools that require no coding or deep machine learning knowledge.
Explore industry level applications of churn prediction by analyzing user engagement to forecast cancellations for platforms like Netflix, LinkedIn, and SaaS providers, enabling proactive retention offers.
Leverage predictive analytics to forecast churn and future revenue, identify customer pain points, and boost satisfaction using no-code churn prediction tools.
Learn how sentiment analysis drives digital marketing by automatically evaluating text to gauge sentiment across reviews, emails, and social media, with examples from Google, translation tools, and voice assistants.
Analyze real-world text data statistics to inform digital marketing strategies, including billions of internet users, 2.5 quintillion daily data bytes, and 40,000 searches per second driving sentiment analysis and nlp.
Explore sentiment analysis in digital marketing, focusing on brand monitoring across social media platforms and the use of chatbots.
Explore sentiment analysis for brand monitoring on social media to capture positive and negative feedback and boost digital marketing engagement, using tools like IBM Watson and Clarabridge, without coding.
Explore how Chatbase, a Google tool, uses natural language processing to summarize chats and reveal customer intent, engagement funnels, and ROI insights for digital marketers.
Ai is the trending technology in the world, Ai has a huge impact in digital marketing. In this course you will learn about how Ai is impacting marketing what are the different modules in AI that can be applied in marketing and tools that can be used to make marketers life easier. Machine learning (ML), Deep Learning (DL), Natural Language Processing (NLP) its applications in digital marketing and also you will learn about no code AI, ML, NLP tools.
Types of AI applications like
1) Recommendations systems
2) Churn prediction
3) Sentiment analysis
this 3 Ai based applications in marketing
Also you are going to learn about some machine learning based marketing tools
Advantages of chatbots
no code tools to design chatbots
no code AI tools to create content
no code Ai tools to create a AD copy's
AI based ad monitoring tools
Chatbot summary tools
recommendation systems applications in marketing
some real time examples about recommendations systems and its applications
Real world examples of churn prediction and its applications
How churn predictions helps marketers
How churn prediction helping business owners and marketers to understand the customer problems
How sentiment analysis helping marketers
how text analysis helps marketers to understand the customer feedback ( Large data)
what are the real world sentiment analysis tools for marketers
how marketers can apply artificial intelligence without learning coding like python, R languages.