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Career Path - Product Management (Technical)

Learn to Lead Cross-Functional Teams, Build Tech Products, and Drive Business Strategy with Data-Driven Decision Making
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Course Duration: 210 hours
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Product Management (Technical): Master Product Strategy, Agile Execution & Cross-Functional Leadership – Self-Paced Online Course
 
In today’s fast-paced tech industry, Product Managers serve as the bridge between business, technology, and users. They are responsible for defining the “what” and “why” behind a product, aligning teams, and ensuring that digital solutions meet real customer needs. As the demand for skilled Product Managers with technical fluency continues to grow, this course offers a comprehensive learning path for those aspiring to excel in this dynamic role.
 
This self-paced course is designed to help you become a confident and capable Technical Product Manager (TPM)—someone who not only understands user problems and business strategy but can also engage deeply with engineering teams to deliver scalable, high-impact products. Whether you are transitioning from a non-technical background, advancing from a junior PM role, or upskilling as a business analyst or software engineer, this course provides the tools, frameworks, and real-world experience you need to succeed.
 
You’ll begin with an overview of the product management discipline, learning how PMs drive value through discovery, strategy, and execution. You'll explore the core responsibilities of PMs across different types of companies—startups, enterprises, B2B SaaS, and consumer apps—gaining insight into how the role adapts to different product lifecycles and team structures.
 
From there, the course moves into product thinking and user research, helping you develop empathy for users and analyze market trends. You’ll learn how to define clear problem statements, build customer personas, and map user journeys. Using frameworks like Design Thinking and Jobs to Be Done (JTBD), you’ll practice identifying real pain points and translating them into actionable product opportunities.
 
A major focus of the course is product strategy and roadmapping. You’ll learn how to craft a compelling vision, align with company OKRs (Objectives and Key Results), and create product roadmaps that reflect user value, technical feasibility, and business priorities. You’ll also explore different prioritization techniques—such as RICE, MoSCoW, and Kano Model—to ensure that your roadmap delivers the most impact with the least complexity.
 
As a technical PM, your ability to work closely with engineering teams is critical. This course includes a practical introduction to technical concepts, including APIs, front-end vs. back-end development, databases, system architecture, cloud platforms, and integrations. While you won’t need to code, you’ll learn how software is built, how to communicate technical requirements effectively, and how to evaluate trade-offs in performance, scalability, and complexity.
 
The course emphasizes agile product development, covering workflows like Scrum and Kanban. You’ll learn how to manage sprint planning, standups, retrospectives, and backlog grooming. Tools like Jira, Trello, and Confluence are used throughout the course to simulate real-world product management environments. You’ll practice writing clear user stories, acceptance criteria, and feature specifications that enable efficient delivery by development teams.
 
You’ll also develop skills in UX design and prototyping, collaborating with designers and using tools like Figma to build wireframes, clickable prototypes, and usability tests. This ensures that your features are not only functional but also intuitive and user-centered.
 
Another key component of the course is data-driven decision making. Product Managers today must be comfortable working with metrics, KPIs, and analytics tools. You’ll learn to set up and analyze user funnels, cohorts, heatmaps, and A/B tests using platforms like Mixpanel, Amplitude, and Google Analytics. You’ll also explore how to run experiments, interpret results, and iterate based on insights to improve retention, engagement, and conversion.
 
The course also prepares you for real-world challenges in product launches and stakeholder management. You’ll learn how to align with marketing, sales, customer support, and legal teams to coordinate successful go-to-market strategies. You’ll also build communication skills to manage expectations, resolve conflicts, and keep stakeholders informed and engaged throughout the product lifecycle.
 
To reinforce your learning, the course includes hands-on projects and case studies based on real tech products. You’ll define a product roadmap, write a PRD, prototype a feature in Figma, and analyze product metrics to suggest improvements. These projects serve as tangible portfolio pieces that you can showcase to employers or clients.
 
Upon completing the course, you’ll receive a Certificate of Completion from Uplatz, signifying your readiness to take on the responsibilities of a Technical Product Manager. This certification validates your ability to think strategically, work cross-functionally, and deliver measurable results in modern product environments.
 
Whether you want to work at a high-growth startup, a global tech company, or launch your own product, this course provides the foundation, structure, and confidence you need to thrive in the world of product management. With lifetime access to course content, updates, and resources, you’ll be equipped to keep learning and growing as the industry evolves.
 
If you're passionate about technology, curious about users, and driven to solve meaningful problems, this course offers the perfect launchpad for your product management career.

Course/Topic 1 - Course access through Google Drive

  • Google Drive

    • 01:20

  • Google Drive

    • 01:20

Course/Topic 2 - Data Science with Python - all lectures

  • In this video tutorial we will get introduced to Data Science and the integration of Python in Data Science. Furthermore, we will look into the importance of Data Science and its demand and the application of Data Science.

    • 1:01:14

  • In this video we will learn, all the concepts of Python programming related to Data Science. We will also learn about the Introduction to Python Programing, what is Python Programming and its History, Features and Application of Python along with its setup. Further we will see how to get started with the first python program.

    • 59:19

  • This video talks about the Variable and Data Types in Python Programming. In this session we will learn What is variable, the declaration of variable and variable assignment. Further we will see the data types in python, checking data types and data type conversions.

    • 27:05

  • This tutorial will help you to understand Data Types in python in depth. This video talks about the data types such as numbers, sequence type, Boolean, set and dictionary.

    • 55:27

  • This tutorial talks about the Identifier, keyword, reading input and output formatting in Data Science. We will learn about what is an identifier and keywords. Further we will learn about reading input and taking multiple inputs from a user, Output formatting and Python end parameter.

    • 49:19

  • This tutorial talks about taking multiple inputs from user and output formatting using format method, string method and module operator.

    • 44:09

  • This tutorial talks about the Operators and type of operators. In this session we will learn about the types of operators such as arithmetic, Relational and Assignment Operators.

    • 27:52

  • This tutorial talks further about the part 2 of operators and its types. In this session we will learn about the types of operators such as Logical, Membership, Identity and Bitwise Operators.

    • 31:22

  • In this video you will learn about the process of decision making in Data Science. Furthermore, this tutorial talks about different types of decision-making statements and its application in Data Science.

    • 45:23

  • In this video tutorial we will learn about the Loops in Python programing. We will cover further the different types of Loops in Python, starting with: For Loop.

    • 32:47

  • In this session we will cover the further part of loops in Python programming. The type of loops explained in this video is: While loop and nested loop.

    • 39:43

  • In this session we will cover the further part of loops in Python programming. The type of loops explained in this video is: break, continue and pass loops

    • 23:13

  • In this video tutorial we will start explaining about the lists in Python Programming. This tutorial talks about accessing values in the list and updating the list in Data Science.

    • 46:54

  • In this video tutorial we will look into the further parts about the lists in Python Programming. Deleting list elements, basic list operations, built in functions and methods and the features which are covered in this session.

    • 40:30

  • This tutorial will cover the basics on Tuples and Dictionary function in Data Science. We will learn about accessing and deleting tuple elements. Further we will also cover the basic tuples operations and the built in tuple functions and its methods. At the end we will see the differences in list and tuple.

    • 53:32

  • This tutorial will cover the advanced topics on Tuples and Dictionary function in Data Science. Further in this session we will learn about the Python Dictionary, how to access, update and delete dictionary elements. Lastly we will cover built in functions and methods.

    • 51:22

  • In this session we will learn about the functions and modules used in Data science. After watching this video, you will be able to understand what is a function, the definition of function and calling a function.

    • 44:01

  • In this session we will learn about the further functions and modules used in Data science. After watching this video, you will be able to understand the ways to write a function, Types of functions, Anonymous Functions and Recursive functions.

    • 43:16

  • In this session we will learn about the advanced functions and modules used in Data science. After watching this video, you will be able to understand what is a module, creating a module, import statement and locating modules.

    • 48:21

  • This tutorial talks about the features of working with files. In this video we will learn about opening and closing file, the open function, the file object Attributes, the close method, reading and writing files.

    • 1:05:09

  • This tutorial talks about the advanced features of working with files. In this video we will learn about file positions, renaming and deleting files.

    • 26:50

  • In this session we will learn about the regular expression. After this video you will be able to understand what is a regular expression, meta characters, match function, search function, Re- match vs research, split function and sub function.

    • 1:02:45

  • This video introduces you to the Data Science Libraries. In this video you will learn about the Data science libraries: libraries for data processing, modelling and data visualization.

    • 45:35

  • In this session we will teach about the components of python ecosystem in Data Science. This video talks about the Components of Python Ecosystem using package Python distribution Anaconda and jupyter notebook.

    • 54:24

  • This tutorial talks about the basics of analyzing data using numpy and pandas. The Pandas module mainly works with the tabular data, whereas the NumPy module works with the numerical data. We will further see what is Numpy and why we use numpy.

    • 56:58

  • This tutorial talks about the later part of analyzing data using numpy and pandas. In this tutorial we will learn how to install numpy.

    • 43:37

  • This tutorial talks about the advanced part of analyzing data using numpy and pandas. In this session we will learn what is Pandas and the key features of Pandas. We will also learn about the Python Pandas environment setup.

    • 37:21

  • This tutorial talks about the advanced part of analyzing data using numpy and pandas. In this session we will learn about Pandas data structure with example.

    • 1:12:53

  • This the last session on Analysing Data using Numpy and Pandas. In this session we will learn data analysis using Pandas

    • 28:31

  • In this video tutorial we will learn about the Data Visualization using Matpotlib. This video talks about what is data visualisation, introduction to matplotlib and installation of matplotlib.

    • 37:45

  • In this session we will see the part 2 of Data Visualization with Matplotlib. This video talks about the types of data visualization charts and line chart scatter plot

    • 43:41

  • This tutorial covers part 3 of Data Visualization with Matplotlib. This session covers the types of data visualisation charts: bar chart histogram, area plot pie chart and box plot contour plot.

    • 1:09:26

  • This session talks about the Three-Dimensional Plotting with Matplotlib . In this we will learn about plot 3D scatter, plot 3D contour and plot 3D surface plot.

    • 1:03:43

  • In this tutorial we will cover basics of Data Visualisation with Seaborn. Further we will cover Introduction to seaborn, seaborn functionalities, how to install seaborn and the different categories of plot in seaborn

    • 41:53

  • In this tutorial we will cover the advanced topics of Data Visualisation with Seaborn. In this video we will see about exploring seaborn plots.

    • 59:16

  • Introduction to Statistical Analysis is taught in this video. We will learn what is statistical analysis and introduction to math and statistics for data science. Further we will learn about the terminologies in statistics for data science and categories in statistics, its correlation and lastly mean median and mode quartile.

    • 1:15:05

  • This video course talks about the basics of Data Science methodology. We will learn how to reach from problem to approach.

    • 47:33

  • In this session we will see Data Science Methodology from requirements to collection and from understanding to preparation.

    • 44:12

  • In this session we will learn advanced Data Science Methodology from modelling to evaluation and from deployment to feedback.

    • 39:25

  • This video tutorial talks about the - Introduction to Machine Learning and its Types. In this session we will learn what is machine learning and the need for machine learning. Further we will see the application of machine learning and different types of machine learning. We will also cover topics such as supervised learning, unsupervised learning and reinforcement learning.

    • 56:17

  • This video tutorial talks about the basics of regression analysis. We will cover in this video linear regression and implementing linear regression.

    • 1:11:51

  • This video tutorial talks about the further topics of regression analysis. In this video we will learn about multiple linear regression and implementing multiple linear regression.

    • 54:25

  • This video tutorial talks about the advanced topics of regression analysis. In this video we will learn about polynomial regression and implementing polynomial regression.

    • 38:18

  • In this session we will learn about the classification in Data science. We will see what is classification, classification algorithms and Logistic regression. Also we will learn about implementing Logistic regression.

    • 1:08:43

  • In this session we will learn about the further topics of classification in Data science, such as decision tree and implementing decision tree.

    • 38:36

  • In this session we will learn about the advanced topics of classification in Data science, such as support vendor machine and implementing support vector machine.

    • 25:37

  • This tutorial will teach you about what is clustering and clustering algorithms. Further we will learn what K means clustering and how does K means clustering work and also about implementing K means clustering.

    • 53:10

  • In this session we will see the further topics of clustering, such as hierarchical clustering, agglomerative hierarchical clustering, how does agglomerative hierarchical clustering Work and divisive hierarchical clustering.

    • 28:55

  • This video tutorial talks about the advanced topics of clustering, such as implementation of agglomerative hierarchical clustering.

    • 33:58

  • This video will help you to understand basics of Association rule learning. In this session we will learn about the Apriori algorithm and the working of Apriori algorithm.

    • 53:30

  • This video will help you to understand advanced topics of Association rule learning such as implementation of Apriori algorithm.

    • 58:45

  • This is a session on the practical part of Data Science application. In this example we will see problem statement, data set, exploratory data analysis.

    • 56:40

  • This is a session on the practical part of Data Science application.

    • 42:39

  • This is a session on the practical part of Data Science application. In this we will see the implementation of the project.

    • 50:54

  • This is a session on the practical part of Data Science application

    • 38:18

  • This is a session on the practical part of Data Science application

    • 1:02:31

Course/Topic 3 - Product Management - all lectures

  • Lecture 1 - Introduction to Product Management

    • 25:28

  • Lecture 2 - Deep-dive into Product Management

    • 39:10

Course/Topic 4 - Introduction to DevOps - all lectures

  • In this session of you will get an intro about the DevOps.

    • 17:30

Course/Topic 5 - Project Management Fundamentals - all lectures

  • In this first video tutorial on Project Management, you will learn an Introduction to Project Management, its history, benefits, an illustration to Gantt Chart, a view on some of the International standards of practicing Project Management, an overview of what exactly is a project, its relationship with General Project Management practices, Triple Constraints Theory and the role of a Project Manager and its characteristics in Project Management.

    • 39:36

  • In this second session of Project Management, you will understand what is Process Oriented Project Management, Project Processes and its categories, what is Project Management and Product Oriented processes and an overview of different process groups and its knowledge areas.

    • 21:23

  • In this lecture, you will learn what is a process in Project Management and its different stages in a Project Life cycle, how a process is linked to different process groups. Also, you will learn about the different Knowledge Areas related to a Process in Project Management.

    • 28:19

  • In this video, you will learn about the Project Planning Process and Group Processes and the different processes involved in managing the Scope and Scheduled Constraints.

    • 26:25

  • In this last session on Project Management Fundamentals, you will learn about the different constraints involved like Cost, Quality, Resources, Risks, etc. in a Process Group and how it helps in managing the entire project in Project Management.

    • 20:36
Course Objectives Back to Top
This course is designed to equip learners with the mindset, methodologies, and practical skills required to succeed in a technical product management role. Through interactive projects, real-world scenarios, and expert instruction, you will develop the ability to lead product development with clarity, strategy, and confidence.
 
By the end of this course, learners will be able to:

  • Define the role and responsibilities of a technical product manager across organizations

  • Translate customer problems into product solutions through research and design thinking

  • Develop product strategy and roadmaps aligned with business goals and user value

  • Collaborate with engineering, design, QA, marketing, and operations teams effectively

  • Write clear PRDs (Product Requirement Documents), user stories, and feature specs

  • Understand key technical concepts: APIs, databases, cloud platforms, and integrations

  • Lead agile product development using Scrum, Kanban, and iterative workflows

  • Analyze user behavior using product analytics tools (Mixpanel, Amplitude, Google Analytics)

  • Measure and optimize product performance using KPIs, A/B testing, and funnel metrics

  • Prepare for interviews and PM roles with case studies, mock interviews, and project portfolios

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to Product Management

  • What is product management?
  • Role of a product manager (technical vs. non-technical)
  • Types of product managers (B2B, B2C, Platform, Growth)
  • Common PM myths and realities

Module 2: Product Thinking & User Research

  • Understanding users and their pain points
  • Customer interviews, personas, and journey mapping
  • Market research and competitive analysis
  • Defining problem statements and outcomes

Module 3: Product Strategy & Roadmapping

  • Vision, mission, and OKRs
  • Identifying opportunities and prioritizing features
  • Roadmapping tools (e.g., Productboard, Aha!)
  • Building and managing product backlogs

Module 4: Agile Product Development

  • Agile vs. Waterfall: What works in tech
  • Scrum roles: Product Owner, Scrum Master, Dev Team
  • Sprint planning, retrospectives, and backlog grooming
  • Tools: Jira, Trello, Asana, Confluence

Module 5: Technical Fundamentals for PMs

  • APIs, front-end vs. back-end, databases
  • Software architecture basics (REST, microservices)
  • Git, CI/CD pipelines, cloud basics (AWS, GCP)
  • Writing user stories with technical clarity

Module 6: UX, Prototyping & Design

  • Basics of user-centered design
  • Wireframing and prototyping with Figma
  • Working with UX designers
  • Usability testing and design iterations

Module 7: Product Launch & Go-To-Market

  • MVP definition and development
  • Launch planning and internal alignment
  • Marketing, sales, and support readiness
  • Post-launch iteration and feedback loops

Module 8: Data-Driven Product Decisions

  • Product analytics: events, funnels, cohorts
  • Tools: Mixpanel, Amplitude, Google Analytics
  • A/B testing and experimentation frameworks
  • Data dashboards and decision-making

Module 9: Stakeholder Management & Communication

  • Communicating with engineering, design, and business teams
  • Running effective meetings and product demos
  • Conflict resolution and managing expectations
  • Building trust and influence without authority

Module 10: Career Development & PM Interviews

  • Crafting your PM resume and LinkedIn profile
  • Case studies and product improvement exercises
  • Whiteboard and analytical interview practice
  • Portfolio and capstone project preparation

Certification Back to Top
Upon successful completion of the Product Management (Technical) course, learners will receive a Certificate of Completion from Uplatz, validating their knowledge and practical skills in leading cross-functional teams, managing product life cycles, and making data-driven decisions. This certification demonstrates your ability to define product strategy, write technical product requirements, collaborate effectively with engineering and design teams, and deliver high-impact products that meet both user needs and business goals.
 
The certificate serves as a credible endorsement of your proficiency in technical product management and is a valuable addition to your professional profile. Whether you’re applying for your first product management role, aiming for a promotion, or transitioning into the tech industry, this certification signals your readiness to take on strategic responsibilities in a product-driven organization.
 
In addition to course completion, the certificate also reflects your hands-on experience through capstone projects, case studies, and real-world exercises that simulate the challenges faced by product managers in fast-paced environments.
 
You are encouraged to showcase your certificate on LinkedIn, your resume, or your portfolio to highlight your qualifications to employers, recruiters, and collaborators. As demand for technical product managers continues to grow, this certification can help you stand out in a competitive job market.
Career & Jobs Back to Top
Proficiency in technical product management prepares you for a wide variety of high-impact roles in technology companies, startups, and enterprises. Potential job titles include:

  • Technical Product Manager

  • Associate Product Manager

  • Product Owner

  • Product Analyst

  • Platform Product Manager

  • Growth Product Manager

  • Solutions/Product Consultant

  • Entrepreneur or Founder

These roles are in high demand across industries such as SaaS, e-commerce, fintech, healthcare tech, edtech, and enterprise software.
Interview Questions Back to Top

  1. What is the primary role of a Technical Product Manager?
    A Technical Product Manager (TPM) bridges the gap between engineering and business by defining product requirements, prioritizing features, aligning with technical constraints, and ensuring the product delivers value to users and meets business goals.

  2. How do you define and measure product success?
    Product success is measured using KPIs such as user retention, engagement, feature adoption, conversion rates, NPS, and revenue impact. The choice of metric depends on product goals and lifecycle stage.

  3. What is a PRD, and what should it include?
    A Product Requirements Document (PRD) outlines a product feature’s purpose, user stories, acceptance criteria, technical constraints, and dependencies. It serves as a shared reference for cross-functional teams.

  4. How do you prioritize features in a roadmap?
    Use frameworks like RICE (Reach, Impact, Confidence, Effort), MoSCoW, or Value vs. Effort Matrix to objectively evaluate and prioritize features based on user impact and business value.

  5. What’s the difference between an API and an SDK?
    An API (Application Programming Interface) allows communication between systems. An SDK (Software Development Kit) is a broader toolkit including APIs, libraries, and tools to build applications.

  6. How do you collaborate with engineering teams effectively?
    Speak their language—understand the basics of system architecture, be clear in documentation, participate in standups/sprint planning, and use tools like Jira to manage tasks and feedback loops.

  7. What’s the role of data in product decision-making?
    Data guides prioritization, validates hypotheses, and measures performance. PMs use analytics tools (e.g., Amplitude, Mixpanel) to track user behavior and run A/B tests to inform iterations.

  8. What are some common challenges in launching a product?
    Scope creep, misalignment with stakeholders, bugs, user onboarding issues, and lack of go-to-market preparation. Strong planning, MVP discipline, and clear communication mitigate these risks.

  9. How do you define an MVP (Minimum Viable Product)?
    An MVP is the simplest version of a product that delivers core value to users. It’s used to validate product assumptions with minimal effort and iterate based on feedback.

  10. What is the difference between a Product Owner and a Product Manager?
    A Product Owner is a Scrum role focused on maintaining the product backlog and supporting development. A Product Manager has a broader responsibility including vision, strategy, and business alignment.

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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