171 Courses

Financial reporting best practices involve adherence to accounting principles, regulatory requirements, and industry standards. CFOs should stay informed about evolving accounting standards and regulatory changes. Regularly review updates from regulatory bodies such as the Financial Reporting Council (FRC) and International Financial Reporting Standards (IFRS) to ensure compliance. Engage with industry associations and professional networks to stay abreast of best practices and emerging trends in financial reporting. By actively staying informed, CFOs can adapt their processes and policies to meet changing requirements. Regulatory compliance is a key aspect of financial reporting. How do CFOs navigate the landscape of regulatory requirements and ensure compliance within their organisations? Navigating the regulatory landscape requires a proactive and diligent approach. CFOs must develop a deep understanding of the relevant regulations, such as the Companies Act, UK GAAP, or IFRS, depending on the reporting framework. They collaborate with legal teams and auditors to interpret and apply the regulations correctly. Implementing strong internal controls, conducting regular compliance assessments, and engaging in external audits are essential steps to ensure compliance and mitigate potential risks. Compliance is an ongoing process. CFOs should establish a culture of compliance throughout the organization, emphasizing the importance of ethical practices, accuracy, and transparency in financial reporting. Training programs, internal communication, and regular compliance reviews help foster a compliance-conscious culture. By creating a framework that promotes adherence to regulations, CFOs establish a solid foundation for accurate and reliable financial reporting. https://www.fdcapital.co.uk/podcast/the-intricacies-of-financial-reporting-and-compliance-in-the-uk/ Tags Online Events Things To Do Online Online Seminars Online Business Seminars #financial #compliance #reporting #uk #intricacies

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage

Ethics Matters: Corporate Governance and CFOs,” the podcast where we dive deep into the critical intersection of corporate governance. Sustainability and ESG reporting have gained significant attention in recent years. How do CFOs incorporate these considerations into their financial strategies and decision-making? CFOs recognise that sustainable practices and ESG considerations are not only ethical imperatives but also critical for long-term business success. We incorporate these considerations into financial strategies by assessing the environmental and social impacts of our operations, supply chains, and investment decisions. By incorporating ESG factors into our financial analyses, we make more informed decisions that align with our company’s values and stakeholder expectations. Furthermore, CFOs play a pivotal role in ESG reporting. We collaborate with cross-functional teams to collect relevant data, establish reporting frameworks, and communicate the company’s sustainability initiatives to stakeholders. This transparency fosters trust and accountability while allowing investors, customers, and the broader community to evaluate our commitment to sustainable practices. Board engagement is essential for effective corporate governance. How can CFOs contribute to building a strong relationship between the CFO and the board of directors? Building a strong relationship with the board of directors begins with open and transparent communication. CFOs provide timely and accurate financial information, strategic insights, and risk assessments to the board. We actively participate in board meetings, present financial reports, and engage in discussions about financial performance, strategic initiatives, and potential risks. By demonstrating our financial expertise and ethical leadership, we contribute to a healthy and productive relationship with the board. It’s also crucial for CFOs to provide independent perspectives and challenge conventional thinking when necessary. By offering well-informed insights and raising critical questions, we contribute to robust board discussions and decision-making. This collaborative approach fosters an environment where diverse perspectives are valued, and ethical considerations are thoroughly examined. I would encourage fellow CFOs to prioritise ethics and corporate governance as integral components of their roles. Embed ethical considerations into decision-making processes, ensure robust governance structures, and actively engage with stakeholders. By doing so, we can drive sustainable, responsible, and successful organizations. https://www.fdcapital.co.uk/podcast/ethics-matters-corporate-governance-and-cfos/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #ethics #matters #cfos #corporategovernance

Talent Management and Succession Planning,” the podcast where we explore the critical aspects of attracting and retaining top finance talen Talent management is the lifeblood of any organisation, and finance departments are no exception. In a competitive business landscape, attracting and retaining top finance talent can make a significant difference. Highly skilled and motivated professionals drive innovation, improve financial performance, and contribute to strategic decision-making. By investing in talent management, CFOs ensure their organisations have the right people in the right roles, which is vital for sustainable growth and success. Talent management also enables CFOs to build a culture of continuous learning and development. By nurturing the skills and capabilities of finance professionals, we create an environment that fosters innovation and adaptability. This is crucial in today’s rapidly changing business landscape, where finance teams need to keep pace with evolving technologies, regulations, and industry trends. Talent management provides a foundation for building a resilient and agile finance function. Succession planning is an integral part of talent management. How do CFOs approach succession planning, particularly in finance leadership roles? Succession planning is a proactive approach to ensure a smooth transition of leadership roles. CFOs need to identify high-potential individuals within their finance teams and provide them with opportunities for growth and development. This includes mentorship, training programs, and exposure to cross-functional experiences. By preparing a pipeline of future finance leaders, CFOs can mitigate the risks associated with unexpected departures or retirements, ensuring continuity and stability in finance leadership. Additionally, succession planning should encompass diversity and inclusion. CFOs recognize the importance of building diverse finance teams that reflect the broader talent pool. By providing equal opportunities for underrepresented groups and promoting inclusivity, we foster a culture of belonging and tap into a wider range of perspectives and ideas. Diverse teams drive innovation and improve decision-making, contributing to the overall success of the organisation. How do CFOs create a talent development culture within their finance teams, and what initiatives can be implemented to foster continuous growth? CFOs can create a talent development culture by prioritizing learning and development initiatives. This includes offering ongoing training programs, supporting professional certifications, and providing access to resources that enhance technical and soft skills. CFOs should encourage finance professionals to take ownership of their own development and provide opportunities for them to stretch their capabilities. This may involve cross-functional projects, exposure to different areas of the business, or participation in industry conferences and networking events. Additionally, mentorship and coaching programs play a crucial role in talent development. CFOs can pair experienced finance leaders with up-and-coming talent, fostering knowledge transfer, and providing guidance and support. Encouraging regular feedback and performance discussions helps finance professionals understand their strengths and areas for improvement, enabling targeted development plans. By creating a culture that values continuous learning and growth, CFOs empower their finance teams to reach their full potential. https://www.fdcapital.co.uk/podcast/talent-management-and-succession-planning/ Tags Online Events Things To Do Online Online Classes Online Business Classes #leadership #development #successionplanning #employees #talentmanagement

Technology and innovation and its profound impact on financial operations Technology adoption indeed comes with risks, particularly around data security and privacy. As CFOs, we must ensure robust cybersecurity measures and adhere to strict data protection regulations. It requires ongoing investment in secure systems, staff training, and proactive monitoring to mitigate risks and protect sensitive financial information. Change management is also crucial. The adoption of new technologies requires proper planning, training, and cultural adjustments. As CFOs, we need to foster a culture that embraces innovation and continuous learning. Clear communication about the benefits and objectives of technology adoption is essential to gain buy-in and drive successful implementation. Fantastic insights! Now, let’s discuss the future. What emerging technologies do you foresee shaping the future of finance functions? One area that holds immense potential is blockchain technology. Its decentralised and transparent nature has the potential to streamline financial transactions, enhance auditability, and revolutionize supply chain finance. We’re closely monitoring blockchain’s development and exploring pilot projects to leverage its benefits. I agree, blockchain is a game-changer. Additionally, as the internet of things (IoT) expands, we anticipate new opportunities and challenges. CFOs will need to adapt to the influx of real-time data from interconnected devices, leveraging this information to optimize financial processes, enhance risk management, and improve operational efficiencies. Before we wrap up, any final thoughts or advice for our CFO audience? Embrace technology and view it as an opportunity rather than a threat. Invest in understanding the technological landscape and its implications for finance. Stay curious, adapt, and be open to change. Technology will continue to evolve, and as CFOs, we must evolve with it. Absolutely. Collaboration is key. Engage with IT teams, industry peers, and external experts to stay informed about the latest technological advancements. By fostering partnerships and sharing knowledge, we can collectively navigate the ever-changing technology landscape and drive innovation within our organisations. https://www.fdcapital.co.uk/podcast/technology-and-innovation-and-its-profound-impact-on-financial-operations/ Tags Online Events Things To Do Online Online Conferences Online Science & Tech Conferences #technology #innovation #financial #impact #operations

The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier

An M&A specialist is a senior CFO with a proven track record of overseeing and implementing mergers and acquisitions. An M&A specialist is a senior CFO with a proven track record of overseeing and implementing mergers and acquisitions. They may be hired on a full-time basis and carry a full CFO workload or can be recruited on a part-time or interim basis to focus on a specific merger or acquisition. This flexibility is ideal for start-ups and SMEs who don’t have the budget to recruit a full external team to oversee an M&A or to hire a full-time CFO. The CFO is a link between both companies engaged in the M&A, acting as the eyes and ears for both the board and CEO. Their financial skills enable them to identify potential M&A opportunities and incorporate risk management into their strategy to get the most value out of their deal. Most companies evolve their approach to mergers and acquisitions organically, especially those who rely on an M&A specialist instead of having a dedicated team that works solely on M&A. The CFO is responsible for considering any potential acquisitions, crunching the numbers involved, and ensuring due diligence. They’ll be responsible for determining the value of a potential M&A and presenting it to the company’s board and leadership team to determine whether to make the purchase. An M&A specialist is responsible for gathering the data – including both positive and negative factors – to present an objective look at the other organisation and the potential value the acquisition could bring. CFOs will spend most of their time getting to grips with the numbers involved, long before presenting the M&A proposal to the board. This exercise also requires them to have real-time insight into their own company’s performance, value, and finances to paint a wider picture. An M&A specialist will take the critical steps of ensuring that the numbers presented to them are correct. CFOs who don’t specialise in M&As will still have the skill set required to oversee the process but may lack the efficiency and unique insight of an M&A specialist. Companies that are exploring the option of a merger or being acquired by another company may also decide to recruit an M&A specialist to prepare their accounting. The organisation will want to ensure they present the correct numbers to get the correct valuation and prevent any delays further in the process if incorrect numbers pop up. Getting on top of the data early can enable CFOs to plan accordingly. Most will want to provide extra time within their strategy for any potential hiccups along the way. Spending more time on the data early on can speed up the process while still ensuring due diligence is met. Visit our website to learn more https://www.fdcapital.co.uk/mergers-and-acquistions-specialist/ Tags Online Events Things To Do Online Online Networking Online Business Networking #finance #insights #cfo #mergers #acquisitions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim