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
