Start your Tech career with Tecstart

  • 4 weeks of tech training
  • 3 months work experience
  • Get your dream job
View more
Get Started

Start your Tech career with tecstart

  • 4 weeks of tech training
  • 3 months work experience
  • Get your dream job
view More
Get Started

Our Premium Program

We offer FREE Soft skills & Emotional Intelligence course to learners, with practical projects, and a customised work experience. Special launch price £250 save 85% off starting a global tech career

Python Programming Masterclass
  • 5 Modules
  • All Levels

Product Management

Career Opportunities
Digital Product Manager
Innovation Manager
Product Consultant
Job Opening: 700,000+

Product Management

Module 1: Introduction to Product Management

  • What is product management?
  • The role of a product manager
  • The product development lifecycle
  • Key skills and traits of a successful product manager

Module 2: Market Research and Analysis

  • The importance of market research in product development
  • Techniques for conducting market research
  • Analysing competitors and identifying market trends
  • Defining target customers and their needs
  • Creating user personas

Module 3: Product Strategy

  • Setting product goals and objectives
  • Creating a product roadmap
  • Defining product features and requirements
  • Balancing stakeholder needs and prioritizing features
  • Creating a value proposition
  • Analysing the business model

Module 4: Product Design and Development

  • Design thinking principles
  • Creating wireframes and prototypes
  • Conducting user testing and iterating on product design
  • Collaborating with designers and UX/UI teams
  • Working with cross-functional teams

Module 5: Product Launch and Management

  • Creating a go-to-market strategy
  • Launching the product and measuring its success
  • Managing the product post-launch and addressing customer feedback
  • Planning for future product iterations and updates

 

What you'll learn
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  • 5 Modules
  • All Levels
Project Delivery & QA
Career Opportunities
Software Project Manager
Scrum Master/ Agile Coach
Quality Assurance Manager
Job opening: 715,000+

Project Delivery and QA

Module 1: Project Planning

  • Define project objectives and deliverables
  • Identify project scope and stakeholders
  • Develop a project timeline and budget
  • Establish project management methodology and tools
  • Resource Allocations; Identify necessary resources (people, materials, equipment, etc.)
  • Assign tasks to team members and establish roles and responsibilities
  • Monitor resource usage and adjust as necessary

Module2 : Risk Management

  • Identify potential risks and develop contingency plans
  • Monitor and track risks throughout the project lifecycle
  • Mitigate risks as they arise

Module 3: Communication and Collaboration

  • Establish communication channels and protocols
  • Foster collaboration and teamwork among project stakeholders
  • Agile methodologies and defining sprints timelines
  • Hold regular status meetings and progress updates

Module 4: Quality Assurance

  • Define quality standards and expectations
  • Establish quality control processes
  • Test planning and documentation
  • Bug tracking and reporting
  • Performance and Usability testing
  • Monitor and measure project outcomes against quality standards

Module 5: Project Closure

  • Conduct a project review and evaluation
  • Finalize all project documentation and deliverables
  • Celebrate project success and recognize team contributions
What you'll learn
Buy Now
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  • 5 Modules
  • All Levels

Data Business Analysis

Career Opportunities
Business Analyst
System & Software Analyst
Data Analytics specialist
Job Opening: 810,000+

Data And Business Analysis​Management

Module 1: Introduction to Business Analysis

  • Definition of business analysis and its importance
  • Roles and responsibilities of a data business analyst
  • Key skills required for a business analyst

Module 2: Business Analysis Planning and Monitoring

  • Understanding the business analysis process
  • Developing a business analysis plan

Module 3: Elicitation and Requirements Gathering

  • Techniques for eliciting requirements
  • Requirements documentation and management
  • Verification and validation of requirements

Module 4: Data Analysis and Solution Design

  • Techniques for analysing data and identifying solutions
  • Designing solutions and evaluating alternatives
  • Impact assessment and risk management

Module 5: Implementation and Evaluation

  • Implementing solutions and managing change
  • Evaluating and measuring the success of solutions
  • Continuous improvement and adapting to changing business needs
What you'll learn
Buy Now
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  • 5 Modules
  • All Levels

Digital Strategy

career opportunities
Digital marketing specialist
Social media manager
Customer Success Manager
Job Opening: 770,000+

Digital Strategy

Module 1: Introduction to Digital Strategy and Audience Analysis

  • What is digital strategy and why is it important?
  • Key components of a digital strategy: audience, objectives, tactics, metrics, and technology
  • The difference between digital strategy and digital marketing
  • How to identify and define your target audience
  • Understanding audience behaviour and preferences
  • Developing buyer personas

Module 2: Setting Objectives and Digital Tactics

  • Defining SMART objectives for your digital strategy
  • Aligning objectives with business goals
  • Measuring success with KPIs
  • Overview of digital tactics, including SEO, social media, email marketing, and content marketing
  • Choosing the right tactics for your audience and objectives
  • Integration of tactics for a cohesive strategy

Module 3: Technology and Metrics Analytics

  • Overview of key technologies for digital strategy, including website CMS, marketing automation, and analytics tools
  • Considerations when choosing technology for your strategy
  • Integration of technology with tactics and metrics
  • Understanding key metrics for measuring digital success, including traffic, engagement, and conversions
  • Setting up analytics and tracking tools
  • Analysing data and adjusting strategy based on insights

Module 4: Implementation and Execution

  • Developing a digital action plan and timeline
  • Assigning responsibilities and resources
  • Launching and executing your strategy

Module 5: Monitoring and Evaluation

  • Regularly monitoring progress and performance against objectives
  • Evaluating the effectiveness of your strategy and adjusting as needed
  • Continuously optimizing your strategy for ongoing success
What you'll learn
Buy Now
Python Programming Masterclass
  • 5 Modules
  • All Levels

Artificial Intelligence

Career Opportunities
Prompt Engineer
Artificial intelligence (AI) engineer
NLP Consultant
Job Opening: 650,000+

Artificial Intelligence

Module 1: Introduction to AI and Machine Learning

  • What is AI and its relevance in today's world?
  • Real-life examples of AI applications
  • Understanding machine learning and its applications
  • Common ML algorithms and techniques
  • Introduction to ML libraries and frameworks

Module 2: Neural Networks and Deep Learning

  • Introduction to neural networks and their working principles
  • Deep learning and its role in AI advancements
  • Building and training basic neural networks
  • Overview of popular deep learning architectures

Module 3: Natural Language Processing (NLP)

  • Fundamentals of NLP and its applications
  • Pre-processing and tokenization of text data
  • Sentiment analysis and text classification
  • Introduction to chatbots and language models

Module 4: Computer Vision and Image Recognition

  • Introduction to computer vision and its significance
  • Image pre-processing and feature extraction techniques
  • Object detection and image classification using CNNs.
  • Image recognition applications and use cases.

Module 5: Ethical Considerations in AI

  • Ethical issues and biases in AI algorithms
  • Privacy and security concerns in AI applications
  • Responsible AI development and transparent decision-making
  • AI's impact on employment and societal
     implications
What you'll learn
Buy Now
Python Programming Masterclass
  • 5 Modules
  • All Levels

Cyber Security

Career Opportunities
Cybersecurity Engineer
Malware Specialist
Security Architect
Job Opening: 520,000+

Network and Cybersecurity

Module 1: Introduction to Cybersecurity

  • Understanding the importance of cybersecurity
  • Types of cyber threats and attacks
  • Overview of the cybersecurity landscape

Module 2: Network Security

  • Basics of network security
  • Introduction to firewalls and intrusion detection systems
  • Implementing secure network configurations
  • Wireless network security

Module 3: Cybersecurity Best Practices

  • Password security and encryption techniques
  • Social engineering and phishing attacks
  • Safe web browsing and email practices
  • Importance of regular software updates

Module 4: Malware Protection

  • Identifying different types of malwares
  • Antivirus software and its role in cyber defence
  • Safe file downloads and attachments
  • Removing malware from infected systems

Module 5: Secure Communicationsand Risk Management

  • Encryption and its importance in secure communication
  • Secure email protocols and end-to-end encryption
  • Virtual Private Networks (VPNs)
  • Basic principles of secure messaging apps
  • Risk assessment and management techniques
  • Backup and recovery procedures
What you'll learn
Buy Now
Python Programming Masterclass
  • 3 Modules
  • All Levels

Soft skills & Emotional Intelligence

Better equipped for tech
communicate effectively
solve complex problems
collaborate with diverse teams
enhance career prospects

Soft skills and Emotional intelligent

Module 1: Communication and Interpersonal Skills

  • Importance of effective communication
  • Non-verbal communication
  • Giving and receiving feedback
  • Collaboration and teamwork

Module 2: Emotional Intelligence 

  • Self-awareness and self-regulation
  • Empathy and social awareness
  • Relationship management
  • Building emotional intelligence for personal and professional growth

    Module 3: Mastering Presentation Skills
  • Introduction to Effective Presentations
  • Presentation Tools
  • Preparing Your Presentation
  • Delivering Your Presentation
What you'll learn
Bonus Course

How Does It Work?

Get training on your chosen career path with a personalised work experience. Easy to start anywhere and everywhere 

one

Choose a course

Sign up for a course that best suits your career goal.

2

Start training

4-weeks of online and live training and career support.

three

Work experieNce

Get 3-months UK based hands on work experience.

4

GET a JOB

CV review and references to align and get tech jobs. 

Sign Up

Training & Practical Projects

Mentors & Career Support

Hands-on Work Experience

Lifetime Knowledge

Why TecStart

We’re #1 revolutionary training platform to kickstart your tech career. Our courses are developed by industry experts with years of experience in the tech industry, with real-world expertise and practical knowledge to create engaging and effective learning experiences

Expertise

We’re dedicated to helping learners receive the most relevant and up-to-date tech knowledge.

Flexibility

Whether you're a busy professional or a full-time student, you can learn from anywhere and everywhere

Community

Connect with fellow tech enthusiasts and collaborate on projects, to achieve an engaging learning experience.


Career Support

Access to all courses and we'll work with you to identify your career goals and provide guidance on how to achieve them.

Feedback

What our learners say About us

we’re committed to continuously improving our program to meet the needs of learners starting a global tech career

I highly recommend this program to anyone looking to gain practical skills and work experience in tech!
Ada ChimaBusiness Analyst
TecStart platform was easy to use and the flexibility of the program allowed me to balance my learning with my other commitments.
Sarah AdeleQA
I just completed the learning part on all courses and I'm blown away by how much I learned in such a short amount of time.
Arun ShimaProject delivery
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blog

News & Articles

Tech Career

The Top 10 High-Paying Tech Jobs in 2023 without coding

April 10, 2023
Tech Career

Breaking into Tech: Tips for Landing Your First Job in the Industry

April 7, 2023
Soft Skills

The Importance of Soft Skills in Tech: What Employers Are Looking For

April 3, 2023
Product Management

From UX Designer to Product Manager: How to Transition Your Career in Tech

April 1, 2023
Courses

Product Management

Module 1: Introduction to Product Management

  • What is product management?
  • The role of a product manager
  • The product development lifecycle
  • Key skills and traits of a successful product manager

Module 2: Market Research and Analysis

  • The importance of market research in product development
  • Techniques for conducting market research
  • Analysing competitors and identifying market trends
  • Defining target customers and their needs
  • Creating user personas

Module 3: Product Strategy

  • Setting product goals and objectives
  • Creating a product roadmap
  • Defining product features and requirements
  • Balancing stakeholder needs and prioritizing features
  • Creating a value proposition
  • Analysing the business model

Module 4: Product Design and Development

  • Design thinking principles
  • Creating wireframes and prototypes
  • Conducting user testing and iterating on product design
  • Collaborating with designers and UX/UI teams
  • Working with cross-functional teams

Module 5: Product Launch and Management

  • Creating a go-to-market strategy
  • Launching the product and measuring its success
  • Managing the product post-launch and addressing customer feedback
  • Planning for future product iterations and updates

 

Product Management

Project Delivery and QA

Module 1: Project Planning

  • Define project objectives and deliverables
  • Identify project scope and stakeholders
  • Develop a project timeline and budget
  • Establish project management methodology and tools
  • Resource Allocations; Identify necessary resources (people, materials, equipment, etc.)
  • Assign tasks to team members and establish roles and responsibilities
  • Monitor resource usage and adjust as necessary

Module2 : Risk Management

  • Identify potential risks and develop contingency plans
  • Monitor and track risks throughout the project lifecycle
  • Mitigate risks as they arise

Module 3: Communication and Collaboration

  • Establish communication channels and protocols
  • Foster collaboration and teamwork among project stakeholders
  • Agile methodologies and defining sprints timelines
  • Hold regular status meetings and progress updates

Module 4: Quality Assurance

  • Define quality standards and expectations
  • Establish quality control processes
  • Test planning and documentation
  • Bug tracking and reporting
  • Performance and Usability testing
  • Monitor and measure project outcomes against quality standards

Module 5: Project Closure

  • Conduct a project review and evaluation
  • Finalize all project documentation and deliverables
  • Celebrate project success and recognize team contributions
Project Delivery & QA

Data Business Analysis

Module 1: Introduction to Business Analysis

  • Definition of business analysis and its importance
  • Roles and responsibilities of a data business analyst
  • Key skills required for a business analyst

Module 2: Business Analysis Planning and Monitoring

  • Understanding the business analysis process
  • Developing a business analysis plan

Module 3: Elicitation and Requirements Gathering

  • Techniques for eliciting requirements
  • Requirements documentation and management
  • Verification and validation of requirements

Module 4: Data Analysis and Solution Design

  • Techniques for analysing data and identifying solutions
  • Designing solutions and evaluating alternatives
  • Impact assessment and risk management

Module 5: Implementation and Evaluation

  • Implementing solutions and managing change
  • Evaluating and measuring the success of solutions
  • Continuous improvement and adapting to changing business needs
Data Business Analysis

Digital Strategy

Module 1: Introduction to Digital Strategy and Audience Analysis

  • What is digital strategy and why is it important?
  • Key components of a digital strategy: audience, objectives, tactics, metrics, and technology
  • The difference between digital strategy and digital marketing
  • How to identify and define your target audience
  • Understanding audience behaviour and preferences
  • Developing buyer personas

Module 2: Setting Objectives and Digital Tactics

  • Defining SMART objectives for your digital strategy
  • Aligning objectives with business goals
  • Measuring success with KPIs
  • Overview of digital tactics, including SEO, social media, email marketing, and content marketing
  • Choosing the right tactics for your audience and objectives
  • Integration of tactics for a cohesive strategy

Module 3: Technology and Metrics Analytics

  • Overview of key technologies for digital strategy, including website CMS, marketing automation, and analytics tools
  • Considerations when choosing technology for your strategy
  • Integration of technology with tactics and metrics
  • Understanding key metrics for measuring digital success, including traffic, engagement, and conversions
  • Setting up analytics and tracking tools
  • Analysing data and adjusting strategy based on insights

Module 4: Implementation and Execution

  • Developing a digital action plan and timeline
  • Assigning responsibilities and resources
  • Launching and executing your strategy

Module 5: Monitoring and Evaluation

  • Regularly monitoring progress and performance against objectives
  • Evaluating the effectiveness of your strategy and adjusting as needed
  • Continuously optimizing your strategy for ongoing success
Digital Strategy

Soft skills and Emotional Intelligence

Module 1: Communication and Interpersonal Skills

  • Importance of effective communication
  • Non-verbal communication
  • Giving and receiving feedback
  • Collaboration and teamwork

Module 2: Emotional Intelligence 

  • Self-awareness and self-regulation
  • Empathy and social awareness
  • Relationship management
  • Building emotional intelligence for personal and professional growth

    Module 3: Mastering Presentation Skills

  • Introduction to Effective Presentations
  • Presentation Tools
  • Preparing Your Presentation
  • Delivering Your Presentation
Soft skills and Emotional Intelligence

Artificial Intelligence

Module 1: Introduction to AI and Machine Learning

  • What is AI and its relevance in today's world?
  • Real-life examples of AI applications
  • Understanding machine learning and its applications
  • Common ML algorithms and techniques
  • Introduction to ML libraries and frameworks

Module 2: Neural Networks and Deep Learning

  • Introduction to neural networks and their working principles
  • Deep learning and its role in AI advancements
  • Building and training basic neural networks
  • Overview of popular deep learning architectures

Module 3: Natural Language Processing (NLP)

  • Fundamentals of NLP and its applications
  • Pre-processing and tokenization of text data
  • Sentiment analysis and text classification
  • Introduction to chatbots and language models

Module 4: Computer Vision and Image Recognition

  • Introduction to computer vision and its significance
  • Image pre-processing and feature extraction techniques
  • Object detection and image classification using CNNs.
  • Image recognition applications and use cases.

Module 5: Ethical Considerations in AI

  • Ethical issues and biases in AI algorithms
  • Privacy and security concerns in AI applications
  • Responsible AI development and transparent decision-making

AI's impact on employment and societal implications

Artificial Intelligence

Cyber Security

Module 1: Introduction to Cybersecurity

  • Understanding the importance of cybersecurity
  • Types of cyber threats and attacks
  • Overview of the cybersecurity landscape

Module 2: Network Security

  • Basics of network security
  • Introduction to firewalls and intrusion detection systems
  • Implementing secure network configurations
  • Wireless network security

Module 3: Cybersecurity Best Practices

  • Password security and encryption techniques
  • Social engineering and phishing attacks
  • Safe web browsing and email practices
  • Importance of regular software updates

Module 4: Malware Protection

  • Identifying different types of malwares
  • Antivirus software and its role in cyber defence
  • Safe file downloads and attachments
  • Removing malware from infected systems

Module 5: Secure Communicationsand Risk Management

  • Encryption and its importance in secure communication
  • Secure email protocols and end-to-end encryption
  • Virtual Private Networks (VPNs)
  • Basic principles of secure messaging apps
  • Risk assessment and management techniques
  • Backup and recovery procedures
Cyber Security
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